davidnboone / tcga_brca_rnaseq
jupyter notebook; perform differential gene expression analysis using DESeq2 on TCGA RNAseq data
β31Updated 5 years ago
Alternatives and similar repositories for tcga_brca_rnaseq:
Users that are interested in tcga_brca_rnaseq are comparing it to the libraries listed below
- πΊ Exploring novel tumor epitope identificationβ35Updated 4 years ago
- A continually expanding collection of RNA-seq toolsβ47Updated 3 months ago
- A pipeline for identifying indel derived neoantigens using RNA-Seq dataβ29Updated 2 years ago
- Relative Expression Ordering Analysis (REOA) packageβ20Updated 2 years ago
- Clinical interpretation of somatic mutations in cancerβ44Updated 2 years ago
- β24Updated 9 years ago
- Processing of single cell RNAseq data for the recovery of TCRs in pythonβ26Updated 4 years ago
- JARVIS: a comprehensive deep learning framework to prioritise non-coding variants in whole genomesβ22Updated last week
- Collaboration with Montine, Chang, and Montgomery labs on Alzheimers / Parkinson's ATAC-seq analysisβ45Updated 4 years ago
- TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packagesβ42Updated last year
- GREIN : GEO RNA-seq Experiments Interactive Navigatorβ48Updated 5 years ago
- Transcription Factor Binding Prediction from ATAC-seq and scATAC-seq with Deep Neural Networksβ27Updated 3 months ago
- β47Updated 2 years ago
- ATAC-seq lab for BIOINF545β25Updated 10 months ago
- β46Updated last week
- Immunology-related bioinformatics data and toolsβ71Updated 8 months ago
- Proteome-Wide Association Studyβ44Updated 3 years ago
- Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneouslyβ35Updated last year
- β60Updated 4 years ago
- This is a companion repository for the article "Comparative analysis of machine learning classifiers and calibration algorithms for estimβ¦β20Updated 2 years ago
- Single-cell exploratory data analysis for RNA-Seqβ40Updated 3 years ago
- Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkitβ49Updated last year
- MeDuSA is a fine-resolution cellular deconvolution method that leverages scRNA-seq data as a reference to estimate cell-state abundance iβ¦β41Updated 6 months ago
- Microbial analysis in TCGA dataβ90Updated 10 months ago
- Predictive models and analysis of cancer prognosis and drug response using primary tumor microbial abundances derived from WGS and RNA-seβ¦β15Updated 2 months ago
- 10x single cell RNA-seq data from the developing mouse retinaβ16Updated 3 years ago
- TIDE (Tumor Immune Dysfunction and Exclusion), a gene expression biomarker to predict the clinical response to immune checkpoint blockadeβ¦β34Updated 2 years ago
- Jupyter notebook repository for reproducing analysis in "DNA Methylation Landscape of the Mouse Brain at Single-Cell Resolution"β12Updated 4 years ago
- Bostongene cell deconvolution algorithm from RNAseqβ51Updated last year
- Bulk-Sequence Single-Cell Gene Expression Deconvolution Pipelineβ43Updated last year