R-based package for detecting differentially abundant proteins in shotgun mass spectrometry-based proteomic experiments with tandem mass tag (TMT) labeling
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Nov 14, 2024 - R
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tmt-data-analysis
Here are 10 public repositories matching this topic...
Joint UMAP embedding and clustering of proteomic and transcriptomic data
clustering
jupyterlab
proteomics
mass-spectrometry
transcriptomics
umap
proteomics-data-integration
tmt-data-analysis
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Mar 15, 2022 - HTML
Simple workflows for the isobaric-labeling proteomic data from Proteome Discoverer with ANOVA, t-testing, DEqMS/limma and annotation via fgsea
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May 19, 2022 - R
Exploring correlations in an isobaric labeling mass spectrometry-based proteomic data set
proteomics
escherichia-coli
correlation-matrix
isobaric-quantification
pearson-correlation-coefficient
tmt-data-analysis
proteomics-data-analysis
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Mar 15, 2022 - Jupyter Notebook
Comparison of SPS MS3 TMT data to MS2 TMT data
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Feb 8, 2020 - HTML
Developing mouse lens done with MQ
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Dec 10, 2018 - HTML
Compares PAW and MQ for a 7-channel TMT experiment; compares edgeR to two-sample t-test
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Sep 17, 2020 - HTML
Data from Plubell et al., 2017 processed with the PAW pipeline.
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Jan 3, 2019 - Jupyter Notebook
Public TMT data comparing MS2 to MS3 methods
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Jun 26, 2020 - Jupyter Notebook
R analysis of TMT data from Yeast triple knockout strains (Paulo et al., 2016, JASMS, v27, p1620-25)
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Sep 29, 2018 - Jupyter Notebook
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