Maivanhieu

Maivanhieu's Stars

• UeenHuynh/MGMA_2024

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• kinokoberuji/Data_analysis_IVF

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• ASPteaching/An-Introduction-to-Pathway-Analysis-with-R-and-Bioconductor

  A repository with a variety of examples on using annotations and doing biological significance analysis with Bioconductor

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• ncbi/clinvar

  ClinVar aggregates information about genomic variation and its relationship to human health. Contact us at 'clinvar@ncbi.nlm.nih.gov' with any questions or comments.

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• sjdlabgroup/MutSigTools

  MutSigTools implements wide range of utilities for processing, analysis, and interpretation of somatic mutations and associated mutation signatures.

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• getzlab/CPTAC_PanCan_PTM_2023

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• joshsbloom/eQTL_BYxRM

  1000 BYxRM eQTL analysis and additional data

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• bioinformatics-core-shared-training/ngs-in-bioc

  A course on Analysing Next Generation (/High Throughput etc..) Sequencing data using Bioconductor

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• jokergoo/BioMartGOGeneSets_data

  2

• jokergoo/BioMartGOGeneSets

  Gene Ontology Gene Sets from BioMart

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• jokergoo/bioc-rnaseq

  Analysis and Interpretation of Bulk RNA-Seq Data using Bioconductor

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• jokergoo/bioc-project

  Introduction to the Bioconductor project

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• jokergoo/ComplexHeatmap

  Make Complex Heatmaps

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• MultinomialMutations/MultinomialMutations

  R package for multinomial regression on large cancer DNA datasets. Written for the data analysis in Bertl, J.; Guo, Q. et al. bioRxiv, 2017. doi: https://doi.org/10.1101/122879.

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• thelovelab/rnaseqGene

  RNA-seq workflow: exploratory analysis and differential expression

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• hbctraining/Training-modules

  Materials for short, half-day workshops

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• isglobal-brge/short_course_omic_R

  Short course on omic data analysis with R

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• StoreyLab/qvalue

  R package to estimate q-values and false discovery rate quantities.

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• jje42/GenomicVis

  R package for genomic visualisation

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• JWellsBio/Chemosensitivity

  Predicting chemosensitivity using gene expression

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• CamaraLab/TDA-TCGA

  R package for the identification of cancer-associated mutated genes using gene expression and mutation data.

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• mdozmorov/TCGAsurvival

  Scripts to analyze TCGA data

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