matlab command fitlm Search Results


multivariate regression analysis  (MathWorks Inc)
90
MathWorks Inc multivariate regression analysis
Identification of key transcription factors associated with reporter expression levels and noises using <t>multivariate</t> linear regression analysis. ( A ) View of the barcode 29 locus on chromosome 1. Genome coordinate of each barcode was obtained from conducting TRIP experiment. Six examples of normalized ChIP-seq signal profile of transcription factor surrounding the integration site of the barcode 29 were visualized for a domain of 50 kb. ( B ) The heatmap showing the correlation between the enrichment of transcription factors and reporter expression mean and noise. Transcription factors with Spearman's rank-order correlation coefficient of more than 0.2 were selected from over 200 tested transcription factors. ( C , D ) To understand the relationship between the enrichment of TF and the expression levels ( C ) and noise ( D ) of reporter in an integrative way, we selected transcription factors showing a significant correlation in ( B ) to fit multivariate linear regression model. Features with a significant level above the threshold or dashed line (p < 0.05) contributed significantly to the model. ( E ) A Venn diagram listing transcription factors contributing to reporter expression mean (green) and noise (red).
Multivariate Regression Analysis, supplied by MathWorks 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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command fitlme  (MathWorks Inc)
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MathWorks Inc command fitlme
Identification of key transcription factors associated with reporter expression levels and noises using <t>multivariate</t> linear regression analysis. ( A ) View of the barcode 29 locus on chromosome 1. Genome coordinate of each barcode was obtained from conducting TRIP experiment. Six examples of normalized ChIP-seq signal profile of transcription factor surrounding the integration site of the barcode 29 were visualized for a domain of 50 kb. ( B ) The heatmap showing the correlation between the enrichment of transcription factors and reporter expression mean and noise. Transcription factors with Spearman's rank-order correlation coefficient of more than 0.2 were selected from over 200 tested transcription factors. ( C , D ) To understand the relationship between the enrichment of TF and the expression levels ( C ) and noise ( D ) of reporter in an integrative way, we selected transcription factors showing a significant correlation in ( B ) to fit multivariate linear regression model. Features with a significant level above the threshold or dashed line (p < 0.05) contributed significantly to the model. ( E ) A Venn diagram listing transcription factors contributing to reporter expression mean (green) and noise (red).
Command Fitlme, supplied by MathWorks 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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fitlm command  (MathWorks Inc)
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MathWorks Inc fitlm command
Identification of key transcription factors associated with reporter expression levels and noises using <t>multivariate</t> linear regression analysis. ( A ) View of the barcode 29 locus on chromosome 1. Genome coordinate of each barcode was obtained from conducting TRIP experiment. Six examples of normalized ChIP-seq signal profile of transcription factor surrounding the integration site of the barcode 29 were visualized for a domain of 50 kb. ( B ) The heatmap showing the correlation between the enrichment of transcription factors and reporter expression mean and noise. Transcription factors with Spearman's rank-order correlation coefficient of more than 0.2 were selected from over 200 tested transcription factors. ( C , D ) To understand the relationship between the enrichment of TF and the expression levels ( C ) and noise ( D ) of reporter in an integrative way, we selected transcription factors showing a significant correlation in ( B ) to fit multivariate linear regression model. Features with a significant level above the threshold or dashed line (p < 0.05) contributed significantly to the model. ( E ) A Venn diagram listing transcription factors contributing to reporter expression mean (green) and noise (red).
Fitlm Command, supplied by MathWorks 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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matlab command fitlm  (MathWorks Inc)
90
MathWorks Inc matlab command fitlm
Identification of key transcription factors associated with reporter expression levels and noises using <t>multivariate</t> linear regression analysis. ( A ) View of the barcode 29 locus on chromosome 1. Genome coordinate of each barcode was obtained from conducting TRIP experiment. Six examples of normalized ChIP-seq signal profile of transcription factor surrounding the integration site of the barcode 29 were visualized for a domain of 50 kb. ( B ) The heatmap showing the correlation between the enrichment of transcription factors and reporter expression mean and noise. Transcription factors with Spearman's rank-order correlation coefficient of more than 0.2 were selected from over 200 tested transcription factors. ( C , D ) To understand the relationship between the enrichment of TF and the expression levels ( C ) and noise ( D ) of reporter in an integrative way, we selected transcription factors showing a significant correlation in ( B ) to fit multivariate linear regression model. Features with a significant level above the threshold or dashed line (p < 0.05) contributed significantly to the model. ( E ) A Venn diagram listing transcription factors contributing to reporter expression mean (green) and noise (red).
Matlab Command Fitlm, supplied by MathWorks 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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linear regression via the command fitlm in matlab 2019b  (MathWorks Inc)
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MathWorks Inc linear regression via the command fitlm in matlab 2019b
Identification of key transcription factors associated with reporter expression levels and noises using <t>multivariate</t> linear regression analysis. ( A ) View of the barcode 29 locus on chromosome 1. Genome coordinate of each barcode was obtained from conducting TRIP experiment. Six examples of normalized ChIP-seq signal profile of transcription factor surrounding the integration site of the barcode 29 were visualized for a domain of 50 kb. ( B ) The heatmap showing the correlation between the enrichment of transcription factors and reporter expression mean and noise. Transcription factors with Spearman's rank-order correlation coefficient of more than 0.2 were selected from over 200 tested transcription factors. ( C , D ) To understand the relationship between the enrichment of TF and the expression levels ( C ) and noise ( D ) of reporter in an integrative way, we selected transcription factors showing a significant correlation in ( B ) to fit multivariate linear regression model. Features with a significant level above the threshold or dashed line (p < 0.05) contributed significantly to the model. ( E ) A Venn diagram listing transcription factors contributing to reporter expression mean (green) and noise (red).
Linear Regression Via The Command Fitlm In Matlab 2019b, supplied by MathWorks 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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matlab command fitlme  (MathWorks Inc)
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MathWorks Inc matlab command fitlme
Identification of key transcription factors associated with reporter expression levels and noises using <t>multivariate</t> linear regression analysis. ( A ) View of the barcode 29 locus on chromosome 1. Genome coordinate of each barcode was obtained from conducting TRIP experiment. Six examples of normalized ChIP-seq signal profile of transcription factor surrounding the integration site of the barcode 29 were visualized for a domain of 50 kb. ( B ) The heatmap showing the correlation between the enrichment of transcription factors and reporter expression mean and noise. Transcription factors with Spearman's rank-order correlation coefficient of more than 0.2 were selected from over 200 tested transcription factors. ( C , D ) To understand the relationship between the enrichment of TF and the expression levels ( C ) and noise ( D ) of reporter in an integrative way, we selected transcription factors showing a significant correlation in ( B ) to fit multivariate linear regression model. Features with a significant level above the threshold or dashed line (p < 0.05) contributed significantly to the model. ( E ) A Venn diagram listing transcription factors contributing to reporter expression mean (green) and noise (red).
Matlab Command Fitlme, supplied by MathWorks 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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linear regression fits matlab r2019a  (MathWorks Inc)
90
MathWorks Inc linear regression fits matlab r2019a
Identification of key transcription factors associated with reporter expression levels and noises using <t>multivariate</t> linear regression analysis. ( A ) View of the barcode 29 locus on chromosome 1. Genome coordinate of each barcode was obtained from conducting TRIP experiment. Six examples of normalized ChIP-seq signal profile of transcription factor surrounding the integration site of the barcode 29 were visualized for a domain of 50 kb. ( B ) The heatmap showing the correlation between the enrichment of transcription factors and reporter expression mean and noise. Transcription factors with Spearman's rank-order correlation coefficient of more than 0.2 were selected from over 200 tested transcription factors. ( C , D ) To understand the relationship between the enrichment of TF and the expression levels ( C ) and noise ( D ) of reporter in an integrative way, we selected transcription factors showing a significant correlation in ( B ) to fit multivariate linear regression model. Features with a significant level above the threshold or dashed line (p < 0.05) contributed significantly to the model. ( E ) A Venn diagram listing transcription factors contributing to reporter expression mean (green) and noise (red).
Linear Regression Fits Matlab R2019a, supplied by MathWorks 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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statistics and machine learning toolbox command fitlm  (MathWorks Inc)
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MathWorks Inc statistics and machine learning toolbox command fitlm
Identification of key transcription factors associated with reporter expression levels and noises using <t>multivariate</t> linear regression analysis. ( A ) View of the barcode 29 locus on chromosome 1. Genome coordinate of each barcode was obtained from conducting TRIP experiment. Six examples of normalized ChIP-seq signal profile of transcription factor surrounding the integration site of the barcode 29 were visualized for a domain of 50 kb. ( B ) The heatmap showing the correlation between the enrichment of transcription factors and reporter expression mean and noise. Transcription factors with Spearman's rank-order correlation coefficient of more than 0.2 were selected from over 200 tested transcription factors. ( C , D ) To understand the relationship between the enrichment of TF and the expression levels ( C ) and noise ( D ) of reporter in an integrative way, we selected transcription factors showing a significant correlation in ( B ) to fit multivariate linear regression model. Features with a significant level above the threshold or dashed line (p < 0.05) contributed significantly to the model. ( E ) A Venn diagram listing transcription factors contributing to reporter expression mean (green) and noise (red).
Statistics And Machine Learning Toolbox Command Fitlm, supplied by MathWorks 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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fitlme command  (MathWorks Inc)
90
MathWorks Inc fitlme command
Identification of key transcription factors associated with reporter expression levels and noises using <t>multivariate</t> linear regression analysis. ( A ) View of the barcode 29 locus on chromosome 1. Genome coordinate of each barcode was obtained from conducting TRIP experiment. Six examples of normalized ChIP-seq signal profile of transcription factor surrounding the integration site of the barcode 29 were visualized for a domain of 50 kb. ( B ) The heatmap showing the correlation between the enrichment of transcription factors and reporter expression mean and noise. Transcription factors with Spearman's rank-order correlation coefficient of more than 0.2 were selected from over 200 tested transcription factors. ( C , D ) To understand the relationship between the enrichment of TF and the expression levels ( C ) and noise ( D ) of reporter in an integrative way, we selected transcription factors showing a significant correlation in ( B ) to fit multivariate linear regression model. Features with a significant level above the threshold or dashed line (p < 0.05) contributed significantly to the model. ( E ) A Venn diagram listing transcription factors contributing to reporter expression mean (green) and noise (red).
Fitlme Command, supplied by MathWorks 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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fitlme command - by Bioz Stars, 2026-03
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Image Search Results


Identification of key transcription factors associated with reporter expression levels and noises using multivariate linear regression analysis. ( A ) View of the barcode 29 locus on chromosome 1. Genome coordinate of each barcode was obtained from conducting TRIP experiment. Six examples of normalized ChIP-seq signal profile of transcription factor surrounding the integration site of the barcode 29 were visualized for a domain of 50 kb. ( B ) The heatmap showing the correlation between the enrichment of transcription factors and reporter expression mean and noise. Transcription factors with Spearman's rank-order correlation coefficient of more than 0.2 were selected from over 200 tested transcription factors. ( C , D ) To understand the relationship between the enrichment of TF and the expression levels ( C ) and noise ( D ) of reporter in an integrative way, we selected transcription factors showing a significant correlation in ( B ) to fit multivariate linear regression model. Features with a significant level above the threshold or dashed line (p < 0.05) contributed significantly to the model. ( E ) A Venn diagram listing transcription factors contributing to reporter expression mean (green) and noise (red).

Journal: Scientific Reports

Article Title: Identifying chromatin features that regulate gene expression distribution

doi: 10.1038/s41598-020-77638-2

Figure Lengend Snippet: Identification of key transcription factors associated with reporter expression levels and noises using multivariate linear regression analysis. ( A ) View of the barcode 29 locus on chromosome 1. Genome coordinate of each barcode was obtained from conducting TRIP experiment. Six examples of normalized ChIP-seq signal profile of transcription factor surrounding the integration site of the barcode 29 were visualized for a domain of 50 kb. ( B ) The heatmap showing the correlation between the enrichment of transcription factors and reporter expression mean and noise. Transcription factors with Spearman's rank-order correlation coefficient of more than 0.2 were selected from over 200 tested transcription factors. ( C , D ) To understand the relationship between the enrichment of TF and the expression levels ( C ) and noise ( D ) of reporter in an integrative way, we selected transcription factors showing a significant correlation in ( B ) to fit multivariate linear regression model. Features with a significant level above the threshold or dashed line (p < 0.05) contributed significantly to the model. ( E ) A Venn diagram listing transcription factors contributing to reporter expression mean (green) and noise (red).

Article Snippet: The analysis of statistical significance was done using standard multivariate regression analysis (using the Matlab command fitlm).

Techniques: Expressing, ChIP-sequencing

Distance to specific chromatin states influences expression mean and variance ( A ) Nearest distance from the barcode location to each chromatin state segmented by ChromHMM method was calculated. ( B ) The correlation plot between distance to specific chromatin state and reporter expression mean or noise. ( C ) A multivariate linear regression model was used to determine significant chromatin states influencing reporter expression mean and noise. Panels show the student t statistics and p-values of each coefficient in the model for expression mean (top) and noise (bottom). Chromatin states are color-coded.

Journal: Scientific Reports

Article Title: Identifying chromatin features that regulate gene expression distribution

doi: 10.1038/s41598-020-77638-2

Figure Lengend Snippet: Distance to specific chromatin states influences expression mean and variance ( A ) Nearest distance from the barcode location to each chromatin state segmented by ChromHMM method was calculated. ( B ) The correlation plot between distance to specific chromatin state and reporter expression mean or noise. ( C ) A multivariate linear regression model was used to determine significant chromatin states influencing reporter expression mean and noise. Panels show the student t statistics and p-values of each coefficient in the model for expression mean (top) and noise (bottom). Chromatin states are color-coded.

Article Snippet: The analysis of statistical significance was done using standard multivariate regression analysis (using the Matlab command fitlm).

Techniques: Expressing