MollyZhang / drug_sensitivity_MLLinks
Machine Learning predictions of cancer cell sensitivity to different drugs using data from CCLE (Cancer Cell Line Encyclopedia).
☆15Updated 8 years ago
Alternatives and similar repositories for drug_sensitivity_ML
Users that are interested in drug_sensitivity_ML are comparing it to the libraries listed below
Sorting:
- Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously☆36Updated 2 years ago
- ☆19Updated 4 years ago
- Tools related to the Genomics of Drug Sensitivity in Cancer (GDSC) projects (http://www.cancerrxgene.org/ )☆36Updated 3 years ago
- Epitope immunogenicity prediction through in silico TCR-peptide contact potential profiling.☆24Updated last year
- DIABLO - an integrative multi-group, multi-dataset classification method☆23Updated 6 years ago
- ☆27Updated 2 months ago
- R Shiny application for cross omics data analysis. In revision with Bioinformatics Adv.☆30Updated last month
- GEDFN: Graph-Embedded Deep Feedforward Network☆23Updated 6 years ago
- CMap Notebooks for LINCS 2020 Workshop☆46Updated 3 years ago
- An R package to fit dose response curves for data from the Genomics of Drug Sensitivity of Cancer (GDSC) project.☆26Updated last year
- A collection of useful functions for bioinformatics data analysis☆22Updated 11 months ago
- 🏺 Exploring novel tumor epitope identification☆34Updated 4 years ago
- Knowledge-primed neural networks☆37Updated 2 years ago
- ARCHS4 RNA-seq processing scripts and web server pages.☆57Updated 4 years ago
- Generate Robust Disease-Specific Response Signatures from the LINCS-L1000 Data☆15Updated 3 years ago
- Detects hotspot regions for somatic mutations in 3D protein structures☆2Updated last year
- SpliceTransformer(SpTransformer) is a deep learning tool to predict tissue specific splicing site from pre-mRNA sequence☆23Updated 6 months ago
- ☆24Updated 2 weeks ago
- MuPeXI: the mutant peptide extractor and informer, a tool for predicting neo-epitopes from tumor sequencing data.☆50Updated 5 years ago
- TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages☆45Updated last year
- Connectivity Map analysis in MATLAB☆45Updated 3 years ago
- Companion to "A genome-wide almanac of co-essential modules assigns function to uncharacterized genes" (https://doi.org/10.1101/827071)☆27Updated 2 years ago
- MHC Class I and Class II neoantigen binding prediction☆29Updated 2 years ago
- PRedictor of IMmunogenic Epitopes☆20Updated 3 weeks ago
- A collection of tumour microenvironment single-cell RNA sequencing datasets for use in R and other pipelines.☆18Updated 3 years ago
- ☆10Updated 5 years ago
- DRUG (Digital RNA with pertUrbation of Genes)-seq data analysis pipeline☆32Updated 2 months ago
- Python package to load and query ARCHS4 data☆23Updated 2 months ago
- Machine Learning to Detect Cancer Biomarkers from RNAseq Data☆34Updated 5 years ago
- GREIN : GEO RNA-seq Experiments Interactive Navigator☆49Updated 6 years ago