Alternatives and similar repositories for Machine_learning_drug_discovery

Users that are interested in Machine_learning_drug_discovery are comparing it to the libraries listed below

• chenhcs / FRoGS
  Functional Embedding of Gene Signatures
  ☆46Updated last year
• emmijokinen / TCRconv
  TCRconv is a deep learning model for predicting recognition between T cell receptors and epitopes. It uses protBERT embeddings for the TC…
  ☆25Updated 2 years ago
• MaayanLab / archs4py
  Python package to load and query ARCHS4 data
  ☆23Updated last week
• kenichi-shimada / shinyDepMap
  A shiny-based web tool for interactive analysis of DepMap data
  ☆23Updated 4 years ago
• epigen / KPNN
  Knowledge-primed neural networks
  ☆38Updated 2 years ago
• singha53-zz / diablo
  DIABLO - an integrative multi-group, multi-dataset classification method
  ☆24Updated 6 years ago
• ekernf01 / perturbation_benchmarking
  Comparing performance across many methodological dimensions among tools that predict RNA after TF knockdowns and overexpression.
  ☆19Updated 4 months ago
• umccr / neoantigens
  🏺 Exploring novel tumor epitope identification
  ☆34Updated 4 years ago
• kundajelab / coessentiality
  Companion to "A genome-wide almanac of co-essential modules assigns function to uncharacterized genes" (https://doi.org/10.1101/827071)
  ☆27Updated 3 years ago
• KarchinLab / HotMAPS_2016
  Detects hotspot regions for somatic mutations in 3D protein structures
  ☆3Updated last year
• zuozhaorui / SWnet
  Core code for the paper "A deep learning model for drug response prediction from cancer genomic signatures and compound chemical structur…
  ☆20Updated 3 years ago
• GfellerLab / MixMHC2pred
  HLA-II ligand predictor.
  ☆44Updated 2 years ago
• GfellerLab / PRIME
  PRedictor of IMmunogenic Epitopes
  ☆23Updated 2 months ago
• MaayanLab / maayanlab-bioinformatics
  A collection of useful functions for bioinformatics data analysis
  ☆24Updated 3 weeks ago
• GreiffLab / immuneSIM
  ☆38Updated last year
• IEDB / TCRMatch
  ☆29Updated last month
• bioinformatics-sannio / ncrna-deep
  Scripts and datasets to reproduce the experiment of the paper "Exploring non-coding RNA functions with deep learning tools"
  ☆15Updated 4 years ago
• mims-harvard / COMPASS
  Generalizable AI predicts immunotherapy outcomes across cancers and treatments
  ☆37Updated 2 weeks ago
• LukszaLab / NeoantigenEditing
  ☆17Updated 3 years ago
• pachterlab / gget_examples
  Examples for gget (https://github.com/pachterlab/gget).
  ☆38Updated 2 months ago
• kuijjerlab / retriever
  Generate Robust Disease-Specific Response Signatures from the LINCS-L1000 Data
  ☆15Updated 3 years ago
• getzlab / CLUMPS-PTM
  CLUMPS adapted to post-translational modifications.
  ☆9Updated 2 months ago
• cmap / lincs-workshop-2020
  CMap Notebooks for LINCS 2020 Workshop
  ☆46Updated 3 years ago
• pachterlab / Bi-BE-CS-183-2022
  Website for the 2021-2022 Caltech class Bi/BE/CS 183: Introduction to Computational Biology and Bioinformatics
  ☆10Updated 3 years ago
• uio-bmi / immuneML
  immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.
  ☆68Updated this week
• XSLiuLab / Seq2Neo
  Seq2Neo: a comprehensive pipeline for cancer neoantigen immunogenicity prediction
  ☆21Updated 2 years ago
• altoslabs / perturbench
  ☆34Updated 2 months ago
• PennHui2016 / OpDEA
  A toolkit for optimal workflow recommendation for proteomics data differential expression analysis
  ☆16Updated 9 months ago
• kmayerb / tcrdist3
  flexible CDR based distance metrics
  ☆66Updated 11 months ago
• antigenomics / tcren-ms
  📝 [Paper] TCRen: predicting TCR-peptide recognition based on residue-level pairwise statistical potential
  ☆18Updated 4 months ago