function modules Search Results


90
GraphPad Software Inc enzyme kinetics-velocity as a function of substrate module
Enzyme Kinetics Velocity As A Function Of Substrate Module, supplied by GraphPad Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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90
SPECTRO Analytical spectro-temporal modulation framework
A Song vs. Speech contrast (two-tailed) in the <t>STM</t> domain across all societies ( p < 0.001, FDR corrected in the spectral and temporal <t>modulation</t> domains, n = 369 independent vocalizations). B Heatmap (smoothed) depicting the number of societies showing a significant effect in the clusters identified in ( A ). Each value reports a numeric count, with larger counts associated with black coloring. C K-means clustering of statistical peaks; dots represent each society. Dark lines illustrate the boundaries of the significant effects presented in ( A ). D Fieldsite-wise cross-validated support vector machine decoding accuracy (chance level: 50%). The colored dots represent the accuracy for each society (sorted as a function of accuracy with a jet colormap) n = 21 independent societies. E Receiver operating characteristic curve (ROC) for each society (same color code as in ( A ). Black dashed line represents the chance level . F Normalized feature weights in the modulation power spectrum domain showing features with the largest influence (z-score, average of the 21 classifiers) for the classifier. Dark lines illustrate the boundaries of the significant effects presented in ( A ).
Spectro Temporal Modulation Framework, supplied by SPECTRO Analytical, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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90
Synthon Chemicals GmbH functional of macrocyclic module
A Song vs. Speech contrast (two-tailed) in the <t>STM</t> domain across all societies ( p < 0.001, FDR corrected in the spectral and temporal <t>modulation</t> domains, n = 369 independent vocalizations). B Heatmap (smoothed) depicting the number of societies showing a significant effect in the clusters identified in ( A ). Each value reports a numeric count, with larger counts associated with black coloring. C K-means clustering of statistical peaks; dots represent each society. Dark lines illustrate the boundaries of the significant effects presented in ( A ). D Fieldsite-wise cross-validated support vector machine decoding accuracy (chance level: 50%). The colored dots represent the accuracy for each society (sorted as a function of accuracy with a jet colormap) n = 21 independent societies. E Receiver operating characteristic curve (ROC) for each society (same color code as in ( A ). Black dashed line represents the chance level . F Normalized feature weights in the modulation power spectrum domain showing features with the largest influence (z-score, average of the 21 classifiers) for the classifier. Dark lines illustrate the boundaries of the significant effects presented in ( A ).
Functional Of Macrocyclic Module, supplied by Synthon Chemicals GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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90
TURBOMOLE GmbH turbomole, parallel implementation of scf, density functional, and chemical shift modules
A Song vs. Speech contrast (two-tailed) in the <t>STM</t> domain across all societies ( p < 0.001, FDR corrected in the spectral and temporal <t>modulation</t> domains, n = 369 independent vocalizations). B Heatmap (smoothed) depicting the number of societies showing a significant effect in the clusters identified in ( A ). Each value reports a numeric count, with larger counts associated with black coloring. C K-means clustering of statistical peaks; dots represent each society. Dark lines illustrate the boundaries of the significant effects presented in ( A ). D Fieldsite-wise cross-validated support vector machine decoding accuracy (chance level: 50%). The colored dots represent the accuracy for each society (sorted as a function of accuracy with a jet colormap) n = 21 independent societies. E Receiver operating characteristic curve (ROC) for each society (same color code as in ( A ). Black dashed line represents the chance level . F Normalized feature weights in the modulation power spectrum domain showing features with the largest influence (z-score, average of the 21 classifiers) for the classifier. Dark lines illustrate the boundaries of the significant effects presented in ( A ).
Turbomole, Parallel Implementation Of Scf, Density Functional, And Chemical Shift Modules, supplied by TURBOMOLE GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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90
Nanonis GmbH tilt correction function in the nanonis module
A Song vs. Speech contrast (two-tailed) in the <t>STM</t> domain across all societies ( p < 0.001, FDR corrected in the spectral and temporal <t>modulation</t> domains, n = 369 independent vocalizations). B Heatmap (smoothed) depicting the number of societies showing a significant effect in the clusters identified in ( A ). Each value reports a numeric count, with larger counts associated with black coloring. C K-means clustering of statistical peaks; dots represent each society. Dark lines illustrate the boundaries of the significant effects presented in ( A ). D Fieldsite-wise cross-validated support vector machine decoding accuracy (chance level: 50%). The colored dots represent the accuracy for each society (sorted as a function of accuracy with a jet colormap) n = 21 independent societies. E Receiver operating characteristic curve (ROC) for each society (same color code as in ( A ). Black dashed line represents the chance level . F Normalized feature weights in the modulation power spectrum domain showing features with the largest influence (z-score, average of the 21 classifiers) for the classifier. Dark lines illustrate the boundaries of the significant effects presented in ( A ).
Tilt Correction Function In The Nanonis Module, supplied by Nanonis GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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90
OpenEye Scientific Software Inc oelibrarygen function from openeye’s oechem module
A Song vs. Speech contrast (two-tailed) in the <t>STM</t> domain across all societies ( p < 0.001, FDR corrected in the spectral and temporal <t>modulation</t> domains, n = 369 independent vocalizations). B Heatmap (smoothed) depicting the number of societies showing a significant effect in the clusters identified in ( A ). Each value reports a numeric count, with larger counts associated with black coloring. C K-means clustering of statistical peaks; dots represent each society. Dark lines illustrate the boundaries of the significant effects presented in ( A ). D Fieldsite-wise cross-validated support vector machine decoding accuracy (chance level: 50%). The colored dots represent the accuracy for each society (sorted as a function of accuracy with a jet colormap) n = 21 independent societies. E Receiver operating characteristic curve (ROC) for each society (same color code as in ( A ). Black dashed line represents the chance level . F Normalized feature weights in the modulation power spectrum domain showing features with the largest influence (z-score, average of the 21 classifiers) for the classifier. Dark lines illustrate the boundaries of the significant effects presented in ( A ).
Oelibrarygen Function From Openeye’s Oechem Module, supplied by OpenEye Scientific Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/oelibrarygen function from openeye’s oechem module/product/OpenEye Scientific Software Inc
Average 90 stars, based on 1 article reviews
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90
CoreBiome Inc functional annotation based on kegg modules
A Song vs. Speech contrast (two-tailed) in the <t>STM</t> domain across all societies ( p < 0.001, FDR corrected in the spectral and temporal <t>modulation</t> domains, n = 369 independent vocalizations). B Heatmap (smoothed) depicting the number of societies showing a significant effect in the clusters identified in ( A ). Each value reports a numeric count, with larger counts associated with black coloring. C K-means clustering of statistical peaks; dots represent each society. Dark lines illustrate the boundaries of the significant effects presented in ( A ). D Fieldsite-wise cross-validated support vector machine decoding accuracy (chance level: 50%). The colored dots represent the accuracy for each society (sorted as a function of accuracy with a jet colormap) n = 21 independent societies. E Receiver operating characteristic curve (ROC) for each society (same color code as in ( A ). Black dashed line represents the chance level . F Normalized feature weights in the modulation power spectrum domain showing features with the largest influence (z-score, average of the 21 classifiers) for the classifier. Dark lines illustrate the boundaries of the significant effects presented in ( A ).
Functional Annotation Based On Kegg Modules, supplied by CoreBiome Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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90
AUTODOCK GmbH vina functional module
A Song vs. Speech contrast (two-tailed) in the <t>STM</t> domain across all societies ( p < 0.001, FDR corrected in the spectral and temporal <t>modulation</t> domains, n = 369 independent vocalizations). B Heatmap (smoothed) depicting the number of societies showing a significant effect in the clusters identified in ( A ). Each value reports a numeric count, with larger counts associated with black coloring. C K-means clustering of statistical peaks; dots represent each society. Dark lines illustrate the boundaries of the significant effects presented in ( A ). D Fieldsite-wise cross-validated support vector machine decoding accuracy (chance level: 50%). The colored dots represent the accuracy for each society (sorted as a function of accuracy with a jet colormap) n = 21 independent societies. E Receiver operating characteristic curve (ROC) for each society (same color code as in ( A ). Black dashed line represents the chance level . F Normalized feature weights in the modulation power spectrum domain showing features with the largest influence (z-score, average of the 21 classifiers) for the classifier. Dark lines illustrate the boundaries of the significant effects presented in ( A ).
Vina Functional Module, supplied by AUTODOCK GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/vina functional module/product/AUTODOCK GmbH
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90
KayPENTAX Inc real-time lpc function of the sona-match module of the computerized speech lab
A Song vs. Speech contrast (two-tailed) in the <t>STM</t> domain across all societies ( p < 0.001, FDR corrected in the spectral and temporal <t>modulation</t> domains, n = 369 independent vocalizations). B Heatmap (smoothed) depicting the number of societies showing a significant effect in the clusters identified in ( A ). Each value reports a numeric count, with larger counts associated with black coloring. C K-means clustering of statistical peaks; dots represent each society. Dark lines illustrate the boundaries of the significant effects presented in ( A ). D Fieldsite-wise cross-validated support vector machine decoding accuracy (chance level: 50%). The colored dots represent the accuracy for each society (sorted as a function of accuracy with a jet colormap) n = 21 independent societies. E Receiver operating characteristic curve (ROC) for each society (same color code as in ( A ). Black dashed line represents the chance level . F Normalized feature weights in the modulation power spectrum domain showing features with the largest influence (z-score, average of the 21 classifiers) for the classifier. Dark lines illustrate the boundaries of the significant effects presented in ( A ).
Real Time Lpc Function Of The Sona Match Module Of The Computerized Speech Lab, supplied by KayPENTAX Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/real-time lpc function of the sona-match module of the computerized speech lab/product/KayPENTAX Inc
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90
Synthon Chemicals GmbH functional of macrocyclic module linkage reagent
A Song vs. Speech contrast (two-tailed) in the <t>STM</t> domain across all societies ( p < 0.001, FDR corrected in the spectral and temporal <t>modulation</t> domains, n = 369 independent vocalizations). B Heatmap (smoothed) depicting the number of societies showing a significant effect in the clusters identified in ( A ). Each value reports a numeric count, with larger counts associated with black coloring. C K-means clustering of statistical peaks; dots represent each society. Dark lines illustrate the boundaries of the significant effects presented in ( A ). D Fieldsite-wise cross-validated support vector machine decoding accuracy (chance level: 50%). The colored dots represent the accuracy for each society (sorted as a function of accuracy with a jet colormap) n = 21 independent societies. E Receiver operating characteristic curve (ROC) for each society (same color code as in ( A ). Black dashed line represents the chance level . F Normalized feature weights in the modulation power spectrum domain showing features with the largest influence (z-score, average of the 21 classifiers) for the classifier. Dark lines illustrate the boundaries of the significant effects presented in ( A ).
Functional Of Macrocyclic Module Linkage Reagent, supplied by Synthon Chemicals GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/functional of macrocyclic module linkage reagent/product/Synthon Chemicals GmbH
Average 90 stars, based on 1 article reviews
functional of macrocyclic module linkage reagent - by Bioz Stars, 2026-06
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90
Optikos Corporation modulation transfer function bench system
A Song vs. Speech contrast (two-tailed) in the <t>STM</t> domain across all societies ( p < 0.001, FDR corrected in the spectral and temporal <t>modulation</t> domains, n = 369 independent vocalizations). B Heatmap (smoothed) depicting the number of societies showing a significant effect in the clusters identified in ( A ). Each value reports a numeric count, with larger counts associated with black coloring. C K-means clustering of statistical peaks; dots represent each society. Dark lines illustrate the boundaries of the significant effects presented in ( A ). D Fieldsite-wise cross-validated support vector machine decoding accuracy (chance level: 50%). The colored dots represent the accuracy for each society (sorted as a function of accuracy with a jet colormap) n = 21 independent societies. E Receiver operating characteristic curve (ROC) for each society (same color code as in ( A ). Black dashed line represents the chance level . F Normalized feature weights in the modulation power spectrum domain showing features with the largest influence (z-score, average of the 21 classifiers) for the classifier. Dark lines illustrate the boundaries of the significant effects presented in ( A ).
Modulation Transfer Function Bench System, supplied by Optikos Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/modulation transfer function bench system/product/Optikos Corporation
Average 90 stars, based on 1 article reviews
modulation transfer function bench system - by Bioz Stars, 2026-06
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90
Metrohm AG relaxis with the distribution of relaxation times (drt) function module
A Song vs. Speech contrast (two-tailed) in the <t>STM</t> domain across all societies ( p < 0.001, FDR corrected in the spectral and temporal <t>modulation</t> domains, n = 369 independent vocalizations). B Heatmap (smoothed) depicting the number of societies showing a significant effect in the clusters identified in ( A ). Each value reports a numeric count, with larger counts associated with black coloring. C K-means clustering of statistical peaks; dots represent each society. Dark lines illustrate the boundaries of the significant effects presented in ( A ). D Fieldsite-wise cross-validated support vector machine decoding accuracy (chance level: 50%). The colored dots represent the accuracy for each society (sorted as a function of accuracy with a jet colormap) n = 21 independent societies. E Receiver operating characteristic curve (ROC) for each society (same color code as in ( A ). Black dashed line represents the chance level . F Normalized feature weights in the modulation power spectrum domain showing features with the largest influence (z-score, average of the 21 classifiers) for the classifier. Dark lines illustrate the boundaries of the significant effects presented in ( A ).
Relaxis With The Distribution Of Relaxation Times (Drt) Function Module, supplied by Metrohm AG, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/relaxis with the distribution of relaxation times (drt) function module/product/Metrohm AG
Average 90 stars, based on 1 article reviews
relaxis with the distribution of relaxation times (drt) function module - by Bioz Stars, 2026-06
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Image Search Results


A Song vs. Speech contrast (two-tailed) in the STM domain across all societies ( p < 0.001, FDR corrected in the spectral and temporal modulation domains, n = 369 independent vocalizations). B Heatmap (smoothed) depicting the number of societies showing a significant effect in the clusters identified in ( A ). Each value reports a numeric count, with larger counts associated with black coloring. C K-means clustering of statistical peaks; dots represent each society. Dark lines illustrate the boundaries of the significant effects presented in ( A ). D Fieldsite-wise cross-validated support vector machine decoding accuracy (chance level: 50%). The colored dots represent the accuracy for each society (sorted as a function of accuracy with a jet colormap) n = 21 independent societies. E Receiver operating characteristic curve (ROC) for each society (same color code as in ( A ). Black dashed line represents the chance level . F Normalized feature weights in the modulation power spectrum domain showing features with the largest influence (z-score, average of the 21 classifiers) for the classifier. Dark lines illustrate the boundaries of the significant effects presented in ( A ).

Journal: Nature Communications

Article Title: Spectro-temporal acoustical markers differentiate speech from song across cultures

doi: 10.1038/s41467-024-49040-3

Figure Lengend Snippet: A Song vs. Speech contrast (two-tailed) in the STM domain across all societies ( p < 0.001, FDR corrected in the spectral and temporal modulation domains, n = 369 independent vocalizations). B Heatmap (smoothed) depicting the number of societies showing a significant effect in the clusters identified in ( A ). Each value reports a numeric count, with larger counts associated with black coloring. C K-means clustering of statistical peaks; dots represent each society. Dark lines illustrate the boundaries of the significant effects presented in ( A ). D Fieldsite-wise cross-validated support vector machine decoding accuracy (chance level: 50%). The colored dots represent the accuracy for each society (sorted as a function of accuracy with a jet colormap) n = 21 independent societies. E Receiver operating characteristic curve (ROC) for each society (same color code as in ( A ). Black dashed line represents the chance level . F Normalized feature weights in the modulation power spectrum domain showing features with the largest influence (z-score, average of the 21 classifiers) for the classifier. Dark lines illustrate the boundaries of the significant effects presented in ( A ).

Article Snippet: We decomposed the acoustical signal of the vocalization samples using the Spectro-Temporal Modulation (STM) framework (Fig. ).

Techniques: Two Tailed Test, Plasmid Preparation

A R values in the STM domain for the correlation between fitted responses (PLS) and observed responses (STM) (FDR corrected in the spectral and temporal modulation domains, p < 0.05, two-tailed). Dark lines illustrate the boundaries of the significant effects presented in (Fig. ). B , C Left Panels: Scatter plot of fitted responses (PLS) and observed responses (STM) for the spectral (see letter (S) in ( A ), statistical peak ( B ), and temporal (see letter (T) in ( A ) statistical peak ( C )). Circles represents each speakers/vocalization ( n = 369), two-tailed, all ps < 0.001. Right panels: VIP scores: the horizontal bars show the acoustic features with the largest influence in the PLS. D Fieldsite-wise cross-validated ( n = 21 independent societies) support vector machine decoding accuracy (chance level: 50%) for four alternative strategies with STM features only (white), STM + acoustical features (black), Acoustical features only (gray) and Acoustical features without VIP variables (light gray). The colored dots (jet colormap sorted as a function of accuracy for the model trained with STM features only) represent the accuracy for each society. ** p < 0.001, ns non-significant, post hoc pairwise comparisons were two-tailed, Bonferroni corrected.

Journal: Nature Communications

Article Title: Spectro-temporal acoustical markers differentiate speech from song across cultures

doi: 10.1038/s41467-024-49040-3

Figure Lengend Snippet: A R values in the STM domain for the correlation between fitted responses (PLS) and observed responses (STM) (FDR corrected in the spectral and temporal modulation domains, p < 0.05, two-tailed). Dark lines illustrate the boundaries of the significant effects presented in (Fig. ). B , C Left Panels: Scatter plot of fitted responses (PLS) and observed responses (STM) for the spectral (see letter (S) in ( A ), statistical peak ( B ), and temporal (see letter (T) in ( A ) statistical peak ( C )). Circles represents each speakers/vocalization ( n = 369), two-tailed, all ps < 0.001. Right panels: VIP scores: the horizontal bars show the acoustic features with the largest influence in the PLS. D Fieldsite-wise cross-validated ( n = 21 independent societies) support vector machine decoding accuracy (chance level: 50%) for four alternative strategies with STM features only (white), STM + acoustical features (black), Acoustical features only (gray) and Acoustical features without VIP variables (light gray). The colored dots (jet colormap sorted as a function of accuracy for the model trained with STM features only) represent the accuracy for each society. ** p < 0.001, ns non-significant, post hoc pairwise comparisons were two-tailed, Bonferroni corrected.

Article Snippet: We decomposed the acoustical signal of the vocalization samples using the Spectro-Temporal Modulation (STM) framework (Fig. ).

Techniques: Two Tailed Test, Plasmid Preparation