AUTOSurv is a deep learning framework designed for multi-omics data analysis and cancer prognisis prediction, it also enables result interpretation for the identification of important input features.
UCSC Xena TCGA-BRCA dataset:
Gene expression RNAseq (HTSeq - FPKM): https://xenabrowser.net/datapages/?dataset=TCGA-BRCA.htseq_fpkm.tsv&host=https%3A%2F%2Fgdc.xenahubs.net&removeHub=https%3A%2F%2Fxena.treehouse.gi.ucsc.edu%3A443
Stem loop expression (miRNA expression quantification): https://xenabrowser.net/datapages/?dataset=TCGA-BRCA.mirna.tsv&host=https%3A%2F%2Fgdc.xenahubs.net&removeHub=https%3A%2F%2Fxena.treehouse.gi.ucsc.edu%3A443
UCSC Xena TCGA-OV dataset:
Gene expression RNAseq (HTSeq - FPKM): https://xenabrowser.net/datapages/?dataset=TCGA-OV.htseq_fpkm.tsv&host=https%3A%2F%2Fgdc.xenahubs.net&removeHub=https%3A%2F%2Fxena.treehouse.gi.ucsc.edu%3A443
Stem loop expression (miRNA expression quantification): https://xenabrowser.net/datapages/?dataset=TCGA-OV.mirna.tsv&host=https%3A%2F%2Fgdc.xenahubs.net&removeHub=https%3A%2F%2Fxena.treehouse.gi.ucsc.edu%3A443
UCSC Caldas 2007 Breast Cancer dataset:
Phenotype & survival data: https://xenabrowser.net/datapages/?dataset=Caldas2007%2FchinSF2007_public_clinicalMatrix&host=https%3A%2F%2Fucscpublic.xenahubs.net&removeHub=https%3A%2F%2Fxena.treehouse.gi.ucsc.edu%3A443
ICGC Ovarian Cancer Australia: https://dcc.icgc.org/releases/current/Projects/OV-AU