HLTCHKUST / snp2vecLinks
Code and dataset for SNP2Vec paper
☆21Updated 2 years ago
Alternatives and similar repositories for snp2vec
Users that are interested in snp2vec are comparing it to the libraries listed below
Sorting:
- P-NET, Biologically informed deep neural network for prostate cancer classification and discovery☆161Updated 3 years ago
- Gene2Vec: Distributed Representation of Genes Based on Co-Expression☆125Updated 3 years ago
- ☆30Updated last week
- Framework for Interpretable Neural Networks☆111Updated 6 months ago
- CpG Transformer for imputation of single-cell methylomes☆38Updated 2 years ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆51Updated 2 months ago
- Interpretation by Deep Generative Masking for Biological Sequences☆37Updated 3 years ago
- A deep-learning framework for multi-omics integration☆28Updated 2 years ago
- ☆34Updated 3 years ago
- The official code implementation for Chromoformer in PyTorch. (Lee et al., Nature Communications. 2022)☆36Updated 2 years ago
- scPretrain: Multi-task self-supervised learning for cell type classification☆23Updated 3 years ago
- ☆19Updated 2 years ago
- Machine Learning for Genomics and Therapeutics Resources (Cell Patterns)☆80Updated 3 years ago
- BulkRNABert and MOJO☆29Updated 3 months ago
- SHEPHERD: Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases☆75Updated 3 months ago
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 2 years ago
- Paper collection for single cell foundation models☆35Updated last year
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆53Updated 3 years ago
- Knowledge distillation on DNABERT (DistilBERT and MiniLM techniques) for promoter identification.☆24Updated 2 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 4 years ago
- Build foundation model on RNA or DNA data☆29Updated last week
- Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network☆89Updated 2 years ago
- An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.☆158Updated 3 years ago
- Deep-Learning framework for multi-omic and survival data integration☆84Updated last year
- MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations☆87Updated 11 months ago
- Automated Modelling for Biological Evidence-based Research☆46Updated last year
- Multi-omics integration method using AE and GCN☆37Updated 2 years ago
- Primary RNA sequence model☆38Updated last year
- ☆79Updated 2 months ago
- Network-based project to explore gene connectivity through biological scales☆23Updated 11 months ago