Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
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Updated
Apr 29, 2024 - Python
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
TCGAbiolinks
Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
R data package for pre-compiled somatic mutations from TCGA cohorts (from Broad Firehose and TCGA MC3 Project)
TCGAbiolinksGUI code development for R/Bioconductor submission http://tcgabiolinks.fmrp.usp.br:3838/
Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data
Cancer-dedicated gene set interpretation
Bioinformatics Pipeline
Texomer: Integrating Analysis of Cancer Genome and Transcriptome Sequencing Data
a neural network-based feature selection algorithm for next-generation sequencing data
An R package to access, manage and visualize regulome (microRNA/transcription factors)-gene correlations in cancer
Multi-omic Integration and Analysis of cBioPortal and TCGA data with MultiAssayExperiment
Computational approach to identify Survival associated Pairwise Gene Expression states.
This repository has the code for the AWS blog post - Enabling the aggregation and query of The Cancer Genome Atlas using AWS Glue and Amazon Athena
Examples on processing and working with TCGA mutation and RNA-Seq data
Demographic bias in misdiagnosis by computational pathology models - Nature Medicine
This repo stores codes for the analysis of tasrkleat results on TCGA RNA-Seq dataa
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