Alternatives and similar repositories for snp2vec

Users that are interested in snp2vec are comparing it to the libraries listed below

• marakeby / pnet_prostate_paper
  P-NET, Biologically informed deep neural network for prostate cancer classification and discovery
  ☆165Updated 4 years ago
• jingcheng-du / Gene2vec
  Gene2Vec: Distributed Representation of Genes Based on Co-Expression
  ☆126Updated 3 years ago
• carpenter-singh-lab / 2022_Haghighi_NatureMethods
  High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
  ☆52Updated 4 months ago
• ArnovanHilten / GenNet
  Framework for Interpretable Neural Networks
  ☆113Updated 9 months ago
• bowang-lab / genomic-FM
  ☆31Updated this week
• gdewael / cpg-transformer
  CpG Transformer for imputation of single-cell methylomes
  ☆36Updated 2 years ago
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆53Updated 3 years ago
• BiomedSciAI / biomed-multi-omic
  Build foundation model for RNA or DNA data
  ☆53Updated 2 weeks ago
• johli / scrambler
  Interpretation by Deep Generative Masking for Biological Sequences
  ☆37Updated 4 years ago
• chenkenbio / SpliceBERT
  Primary RNA sequence model
  ☆41Updated last year
• snap-stanford / mars
  Discovering novel cell types across heterogenous single-cell experiments
  ☆123Updated 3 years ago
• dohlee / chromoformer
  The official code implementation for Chromoformer in PyTorch. (Lee et al., Nature Communications. 2022)
  ☆36Updated 2 years ago
• jimmylihui / GenBench
  ☆24Updated 7 months ago
• zj-zhang / AMBER
  Automated Modelling for Biological Evidence-based Research
  ☆47Updated 2 years ago
• joanaapa / Distillation-DNABERT-Promoter
  Knowledge distillation on DNABERT (DistilBERT and MiniLM techniques) for promoter identification.
  ☆24Updated 3 years ago
• mims-harvard / SHEPHERD
  SHEPHERD: Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases
  ☆77Updated 6 months ago
• melobio / LOGO
  ☆19Updated 3 years ago
• schulter / EMOGI
  An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.
  ☆160Updated 3 years ago
• lab-conrad / resVAE
  resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially usin…
  ☆12Updated 2 years ago
• KangBoming / BulkFormer
  BulkFormer: A large-scale foundation model for human bulk transcriptomes
  ☆37Updated 3 weeks ago
• rahuldhodapkar / cell2sentence
  Create cell sentences from sequencing data
  ☆23Updated last year
• RasmussenLab / MOVE
  MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations
  ☆89Updated last year
• ruiyi-zhang / scPretrain
  scPretrain: Multi-task self-supervised learning for cell type classification
  ☆23Updated 4 years ago
• theislab / chemCPA
  Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
  ☆138Updated 11 months ago
• xiaoyeye / GCNG
  using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions
  ☆56Updated 4 years ago
• microsoft / zero-shot-scfoundation
  ☆76Updated last year
• bio-ontology-research-group / deepgo
  Function prediction using a deep ontology-aware classifier
  ☆85Updated 3 years ago
• jdcla / DNA-transformer
  ☆34Updated 4 years ago
• KatarinaYuan / awesome-single-cell-foundation
  Paper collection for single cell foundation models
  ☆35Updated last year
• snap-stanford / multiscale-interactome
  ☆73Updated 2 years ago