Detecting various characteristics of glioblastoma using Deep Learning
-
Updated
Jun 6, 2024 - Python
Detecting various characteristics of glioblastoma using Deep Learning
Bioinformatics on GCP, AWS or Azure
ConsensusTME Gene Sets and R Script
CIViC is an open access, open source, community-driven web resource for Clinical Interpretation of Variants in Cancer
Website for the all-island eHealth-Hub For Cancer
Haplotype-aware CNV analysis from single-cell RNA-seq
The CGR GWAS QC processing workflow.
cBioPortal for Cancer Genomics
Analysis pipleine to model tumour clonal evolution from WGS data (driver annotation, quality control of copy number calls, subclonal and mutational signature deconvolution)
Single-cell copy number calling and event history reconstruction.
Summarize, Analyze and Visualize MAF files from TCGA or in-house studies.
Bioconductor R-package: Curated Prostate Cancer Data
WebGen Vertically Integrated Project
Inference of copy number and mutation multiplicity in oncology
Human gene annotations for the oncology domain
Multi-Omics Peptide Generator
An ensemble approach to accurately detect somatic mutations using SomaticSeq
Add a description, image, and links to the cancer-genomics topic page so that developers can more easily learn about it.
To associate your repository with the cancer-genomics topic, visit your repo's landing page and select "manage topics."