cmap / cmapPy
Assorted tools for interacting with .gct, .gctx files and other Connectivity Map (Broad Institute) data/tools
☆130Updated 2 years ago
Alternatives and similar repositories for cmapPy:
Users that are interested in cmapPy are comparing it to the libraries listed below
- Toolbox - generic utilities for data processing (e.g., parsing, proximity, guild scoring, etc...)☆109Updated 2 years ago
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆111Updated last month
- A visible neural network model for drug response prediction☆141Updated last year
- CMap Notebooks for LINCS 2020 Workshop☆46Updated 3 years ago
- Python module for prior knowledge integration. Builds databases of signaling pathways, enzyme-substrate interactions, complexes, annotat…☆138Updated this week
- A Deep Learning based Efficacy Prediction System for drug discovery☆64Updated 2 years ago
- CNN architecture for predicting DNA binding sites for Transcription Factors☆51Updated 6 years ago
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆55Updated 4 years ago
- Cancer Drug Response prediction using a Recommender System☆41Updated last year
- CellBox: Interpretable Machine Learning for Perturbation Biology☆53Updated last year
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆48Updated last month
- Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data☆118Updated 2 years ago
- Models and datasets for perturbational single-cell omics☆150Updated 2 years ago
- For anyone who are eager to applying deep learning in bioinformatics!☆124Updated 6 years ago
- Gene2Vec: Distributed Representation of Genes Based on Co-Expression☆114Updated 3 years ago
- covolutional neural network based coexpression analysis☆76Updated 4 years ago
- Biological Network Integration using Convolutions☆62Updated last year
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆49Updated 3 years ago
- Prize-Collecting Steiner Forests for Interactomes☆59Updated 9 months ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆97Updated 7 months ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆30Updated last month
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 2 years ago
- Training and evaluating a variational autoencoder for pan-cancer gene expression data☆165Updated 6 years ago
- This repository contains the tensorflow implementation of "GNE: A deep learning framework for gene network inference by aggregating biolo…☆31Updated 4 years ago
- An actionable database of publicly available single-cell RNA-seq data☆41Updated 5 years ago
- Detailed explanation on how to setup database for NCBI IgBlast executable, and using it in Python☆28Updated 2 years ago
- ☆24Updated 4 years ago
- Deep Learning the T Cell Receptor Binding Specificity of Neoantigen☆78Updated 2 years ago
- ☆11Updated 4 years ago
- python tools for TCR:peptide-MHC modeling and analysis☆72Updated 11 months ago