Alternatives and similar repositories for Bioinfor-DeepSEA

Users that are interested in Bioinfor-DeepSEA are comparing it to the libraries listed below

• GenerTeam / GENERator
  GENERator: A Long-Context Generative Genomic Foundation Model
  ☆442Updated this week
• mims-harvard / COMPASS
  Generalizable AI predicts immunotherapy outcomes across cancers and treatments
  ☆69Updated this week
• jsxlei / SCALE
  Single-cell ATAC-seq analysis via Latent feature Extraction
  ☆103Updated 2 years ago
• ElliotXie / CASSIA
  CASSIA: A multiagent llm based single cell Annottaion framework
  ☆80Updated 2 weeks ago
• TencentAILabHealthcare / scTranslator
  ☆83Updated 5 months ago
• GET-Foundation / get_model
  A modular framework for multimodal cross-cell-type transcriptional regulation models
  ☆100Updated 5 months ago
• tanjimin / C.Origami
  C.Origami, a prediction and screening framework for cell type-specific 3D chromatin structure.
  ☆82Updated last year
• ZJUFanLab / scDeepSort
  Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network
  ☆106Updated 2 years ago
• theislab / scgen-reproducibility
  ☆33Updated 5 years ago
• HantaoShu / DeepSEM
  ☆90Updated 2 years ago
• sidhomj / DeepTCR
  Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data
  ☆123Updated 4 months ago
• bm2-lab / scPerturBench
  Single-cell perturbation effects prediction benchmark
  ☆53Updated 3 weeks ago
• XWangLabTHU / NeuronMotif
  NeuronMotif: deciphering cis-regulatory codes by layerwise demixing of deep neural networks
  ☆15Updated 2 years ago
• tianshilu / pMTnet
  Deep Learning the T Cell Receptor Binding Specificity of Neoantigen
  ☆89Updated 3 years ago
• jimmyyhwu / deepsea
  DeepSEA in TensorFlow
  ☆30Updated 8 years ago
• OSU-BMBL / deepmaps
  Single-cell biological network inference using a heterogeneous graph transformer
  ☆76Updated 11 months ago
• kuixu / PrismNet
  Predicting dynamic cellular protein-RNA interactions using deep learning and in vivo RNA structure
  ☆66Updated last year
• Hughes-Genome-Group / deepC
  A neural network framework for predicting the Hi-C chromatin interactions from megabase scale DNA sequence
  ☆33Updated 2 weeks ago
• gao-lab / Cell_BLAST
  A BLAST-like toolkit for large-scale scRNA-seq data querying and annotation.
  ☆94Updated last year
• jsxlei / SCALEX
  Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space
  ☆81Updated 2 weeks ago
• const-ae / linear_perturbation_prediction-Paper
  ☆69Updated 6 months ago
• GuoBioinfoLab / TCellSI
  The First Innovative Tool to Comprehensively Assess T Cell States
  ☆114Updated 10 months ago
• ml4bio / CLEAR
  CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis
  ☆35Updated 3 years ago
• calico / scBasset
  Sequence-based Modeling of single-cell ATAC-seq using Convolutional Neural Networks.
  ☆100Updated 4 months ago
• sallyqus / awesome-AI4SingleCell
  Must-read papers on deep learning based methodology paper for single cell data analysis
  ☆19Updated 4 years ago
• sunyolo / DeepTFni
  A VGAE-based model to infer transcription factor regulatory network
  ☆28Updated 3 years ago
• HelloWorldLTY / UKBioLM
  ☆22Updated 3 weeks ago
• welch-lab / PerturbNet
  PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation
  ☆61Updated 2 weeks ago
• wukevin / babel
  Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
  ☆46Updated 2 years ago
• xCompass-AI / GeneCompass
  GeneCompass
  ☆109Updated last month