jingcheng-du / Gene2vecLinks
Gene2Vec: Distributed Representation of Genes Based on Co-Expression
☆125Updated 3 years ago
Alternatives and similar repositories for Gene2vec
Users that are interested in Gene2vec are comparing it to the libraries listed below
Sorting:
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 2 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆53Updated 3 years ago
- Comprehensive suite for evaluating perturbation prediction models☆94Updated last week
- Models and datasets for perturbational single-cell omics☆165Updated 3 years ago
- ☆85Updated 2 years ago
- ☆22Updated last year
- ☆30Updated 5 years ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆115Updated last year
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆127Updated 8 months ago
- P-NET, Biologically informed deep neural network for prostate cancer classification and discovery☆161Updated 3 years ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆49Updated 3 months ago
- covolutional neural network based coexpression analysis☆79Updated 5 years ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆51Updated 2 months ago
- Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information (ICLR 2023)☆19Updated 4 months ago
- An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.☆159Updated 3 years ago
- Assorted tools for interacting with .gct, .gctx files and other Connectivity Map (Broad Institute) data/tools☆134Updated 3 years ago
- ☆56Updated 3 months ago
- Toolbox - generic utilities for data processing (e.g., parsing, proximity, guild scoring, etc...)☆113Updated 3 years ago
- ☆73Updated last year
- KGWAS: novel genetics discovery enabled by massive functional genomics knowledge graph☆74Updated 7 months ago
- scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks☆152Updated last year
- Code for evaluating single cell foundation models scBERT and scGPT☆46Updated last year
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆43Updated 2 years ago
- ☆81Updated 2 months ago
- Paper collection for single cell foundation models☆35Updated last year
- Framework for Interpretable Neural Networks☆110Updated 7 months ago
- CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis☆34Updated 2 years ago
- MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations☆88Updated 11 months ago
- A visible neural network model for drug response prediction☆148Updated 2 years ago
- Single-cell biological network inference using a heterogeneous graph transformer☆76Updated 8 months ago