Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
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Updated
Jul 31, 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
Explore the cancer relevance of your gene list
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
Texomer: Integrating Analysis of Cancer Genome and Transcriptome Sequencing Data
Multi-omic Integration and Analysis of cBioPortal and TCGA data with MultiAssayExperiment
Bioinformatics Pipeline
Demographic bias in misdiagnosis by computational pathology models - Nature Medicine
GNU Make-driven workflow to download TCGA data via the TCGAbiolinks package
Computational approach to identify Survival associated Pairwise Gene Expression states.
Tumor2Graph: a novel Overall-Tumor-Profile-derived virtual graph deep learning for predicting tumor typing and subtyping.
a neural network-based feature selection algorithm for next-generation sequencing data
BSc thesis: "Convolutional Neural Networks and their Application in Cancer Diagnosis based on RNA-Sequencing"
This repo stores codes for the analysis of tasrkleat results on TCGA RNA-Seq dataa
Examples on processing and working with TCGA mutation and RNA-Seq data
A Community Curated Immune Resource Database in R format
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