matlab 7.5 r2007b Search Results


tofdaq software  (Tofwerk AG)
90
Tofwerk AG tofdaq software
Tofdaq Software, supplied by Tofwerk 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/tofdaq software/product/Tofwerk AG
Average 90 stars, based on 1 article reviews
tofdaq software - by Bioz Stars, 2026-05
90/100 stars
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pls toolbox 7.5  (Eigenvector Research Inc)
90
Eigenvector Research Inc pls toolbox 7.5
Analysis of near-infrared (NIR) spectrа in Series A: ( a ) raw spectra, ( b ) second-derivative spectra, and ( c ) partial least-squares discriminant analysis (PLS-DA) regression coefficients. Red and green spectra in (a,b) correspond to tumor tissue and normal tissue, respectively.
Pls Toolbox 7.5, supplied by Eigenvector Research 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/pls toolbox 7.5/product/Eigenvector Research Inc
Average 90 stars, based on 1 article reviews
pls toolbox 7.5 - by Bioz Stars, 2026-05
90/100 stars
  Buy from Supplier
quad, dual-core 2.0 ghz opteron cpus  (Advanced Micro Devices Inc)
90
Advanced Micro Devices Inc quad, dual-core 2.0 ghz opteron cpus
Analysis of near-infrared (NIR) spectrа in Series A: ( a ) raw spectra, ( b ) second-derivative spectra, and ( c ) partial least-squares discriminant analysis (PLS-DA) regression coefficients. Red and green spectra in (a,b) correspond to tumor tissue and normal tissue, respectively.
Quad, Dual Core 2.0 Ghz Opteron Cpus, supplied by Advanced Micro Devices 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/quad, dual-core 2.0 ghz opteron cpus/product/Advanced Micro Devices Inc
Average 90 stars, based on 1 article reviews
quad, dual-core 2.0 ghz opteron cpus - by Bioz Stars, 2026-05
90/100 stars
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cag myc grm1 ires rfp  (Addgene inc)
91
Addgene inc cag myc grm1 ires rfp
Analysis of near-infrared (NIR) spectrа in Series A: ( a ) raw spectra, ( b ) second-derivative spectra, and ( c ) partial least-squares discriminant analysis (PLS-DA) regression coefficients. Red and green spectra in (a,b) correspond to tumor tissue and normal tissue, respectively.
Cag Myc Grm1 Ires Rfp, supplied by Addgene inc, used in various techniques. Bioz Stars score: 91/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/cag myc grm1 ires rfp/product/Addgene inc
Average 91 stars, based on 1 article reviews
cag myc grm1 ires rfp - by Bioz Stars, 2026-05
91/100 stars
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Image Search Results


Analysis of near-infrared (NIR) spectrа in Series A: ( a ) raw spectra, ( b ) second-derivative spectra, and ( c ) partial least-squares discriminant analysis (PLS-DA) regression coefficients. Red and green spectra in (a,b) correspond to tumor tissue and normal tissue, respectively.

Journal: Sensors (Basel, Switzerland)

Article Title: Development and Testing of an LED-Based Near-Infrared Sensor for Human Kidney Tumor Diagnostics

doi: 10.3390/s17081914

Figure Lengend Snippet: Analysis of near-infrared (NIR) spectrа in Series A: ( a ) raw spectra, ( b ) second-derivative spectra, and ( c ) partial least-squares discriminant analysis (PLS-DA) regression coefficients. Red and green spectra in (a,b) correspond to tumor tissue and normal tissue, respectively.

Article Snippet: Data analysis was performed in MATLAB R2008b (The MathWorks Inc., Natick, MA, USA); PLS Toolbox, version 7.5 (Eigenvector Research Inc., Manson, WA, USA); and in the web-based chemometrics software TPT-cloud ( www.tptcloud.com ) by Global Modelling (Aalen, Germany), developed at Samara State Technical University (Samara, Russia).

Techniques:

Partial least-squares discriminant analysis (PLS-DA)-predicted (sample-based segmented cross-validation (CV)) vs histologically observed tumor discrimination in Series A samples (patient ID numbers are indicated): ( a ) near-infrared (NIR) spectra, and ( b ) simulated sensor data.

Journal: Sensors (Basel, Switzerland)

Article Title: Development and Testing of an LED-Based Near-Infrared Sensor for Human Kidney Tumor Diagnostics

doi: 10.3390/s17081914

Figure Lengend Snippet: Partial least-squares discriminant analysis (PLS-DA)-predicted (sample-based segmented cross-validation (CV)) vs histologically observed tumor discrimination in Series A samples (patient ID numbers are indicated): ( a ) near-infrared (NIR) spectra, and ( b ) simulated sensor data.

Article Snippet: Data analysis was performed in MATLAB R2008b (The MathWorks Inc., Natick, MA, USA); PLS Toolbox, version 7.5 (Eigenvector Research Inc., Manson, WA, USA); and in the web-based chemometrics software TPT-cloud ( www.tptcloud.com ) by Global Modelling (Aalen, Germany), developed at Samara State Technical University (Samara, Russia).

Techniques: Biomarker Discovery

Partial least-squares discriminant analysis (PLS-DA) score plots: ( a ) simulated sensor data of Series A, and ( b ) sensor measurements of Series A. Tumor and normal tissue measurements are shown with red and green markers, respectively. The numbers designate patient IDs.

Journal: Sensors (Basel, Switzerland)

Article Title: Development and Testing of an LED-Based Near-Infrared Sensor for Human Kidney Tumor Diagnostics

doi: 10.3390/s17081914

Figure Lengend Snippet: Partial least-squares discriminant analysis (PLS-DA) score plots: ( a ) simulated sensor data of Series A, and ( b ) sensor measurements of Series A. Tumor and normal tissue measurements are shown with red and green markers, respectively. The numbers designate patient IDs.

Article Snippet: Data analysis was performed in MATLAB R2008b (The MathWorks Inc., Natick, MA, USA); PLS Toolbox, version 7.5 (Eigenvector Research Inc., Manson, WA, USA); and in the web-based chemometrics software TPT-cloud ( www.tptcloud.com ) by Global Modelling (Aalen, Germany), developed at Samara State Technical University (Samara, Russia).

Techniques:

Permutation tests of partial least-squares discriminant analysis (PLS-DA) models for sensor measurements: ( a ) Series A, and ( b ) refined Series B (As33 and Bs140 models in , respectively). Validation with a random 15% subset at 1000 iterations was used; sorted mean number of misclassified measurements ( NMC ) metrics are presented. Blue bar at zero permutation number corresponds to original non-permuted data.

Journal: Sensors (Basel, Switzerland)

Article Title: Development and Testing of an LED-Based Near-Infrared Sensor for Human Kidney Tumor Diagnostics

doi: 10.3390/s17081914

Figure Lengend Snippet: Permutation tests of partial least-squares discriminant analysis (PLS-DA) models for sensor measurements: ( a ) Series A, and ( b ) refined Series B (As33 and Bs140 models in , respectively). Validation with a random 15% subset at 1000 iterations was used; sorted mean number of misclassified measurements ( NMC ) metrics are presented. Blue bar at zero permutation number corresponds to original non-permuted data.

Article Snippet: Data analysis was performed in MATLAB R2008b (The MathWorks Inc., Natick, MA, USA); PLS Toolbox, version 7.5 (Eigenvector Research Inc., Manson, WA, USA); and in the web-based chemometrics software TPT-cloud ( www.tptcloud.com ) by Global Modelling (Aalen, Germany), developed at Samara State Technical University (Samara, Russia).

Techniques: Biomarker Discovery