Alternatives and similar repositories for Bioinfor-DeepSEA:

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

• ljw-struggle / Bioinfor-DeepATT
  DeepATT, a hybrid deep neural network method for identifying functional effects of DNA sequences.
  ☆27Updated 2 years ago
• jsxlei / SCALEX
  Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space
  ☆75Updated 2 months ago
• tanjimin / C.Origami
  C.Origami, a prediction and screening framework for cell type-specific 3D chromatin structure.
  ☆72Updated 7 months ago
• yifengtao / genome-transformer
  Predicting multiple cancer phenotypes based on somatic genomic alterations via the genomic impact transformer
  ☆62Updated 5 years ago
• mnielLab / NetTCR-2.0
  NetTCR-2.0. Sequence-based prediction of peptide-TCR binding
  ☆33Updated 2 years ago
• tianshilu / pMTnet
  Deep Learning the T Cell Receptor Binding Specificity of Neoantigen
  ☆78Updated 2 years ago
• YeoLab / eCLIP
  ☆37Updated 2 years ago
• kuixu / PrismNet
  Predicting dynamic cellular protein-RNA interactions using deep learning and in vivo RNA structure
  ☆61Updated last year
• GuoBioinfoLab / TCellSI
  The First Innovative Tool to Comprehensively Assess T Cell States
  ☆102Updated last month
• GET-Foundation / get_model
  A modular framework for multimodal cross-cell-type transcriptional regulation models
  ☆61Updated this week
• sjgosai / boda2
  Computational Optimization of DNA Activity (CODA)
  ☆56Updated last month
• zhuhr213 / HDRNet
  ☆11Updated last year
• XinmingTu / Awesome-Bio-ML-PKU
  This is a repo that includes some resources about machine learning and the application in biology. We are students/alumni of Peking Unive…
  ☆15Updated 5 years ago
• rreybeyb / DeepM6ASeq
  a deep-learning-based framework for studying m6A
  ☆22Updated 7 months ago
• s175573 / DeepCAT
  Deep Learning Method to Identify Cancer Associated TCRs
  ☆46Updated 2 years ago
• poseidonchan / TAPE
  Deep learning-based tissue compositions and cell-type-specific gene expression analysis with tissue-adaptive autoencoder (TAPE)
  ☆53Updated 11 months ago
• PuYuQian / PyDeepSEA
  DeepSEA implements in PyTorch
  ☆22Updated 5 years ago
• jsxlei / SCALE
  Single-cell ATAC-seq analysis via Latent feature Extraction
  ☆100Updated last year
• MedChaabane / DeepBind-with-PyTorch
  CNN architecture for predicting DNA binding sites for Transcription Factors
  ☆51Updated 6 years ago
• Hughes-Genome-Group / deepC
  A neural network framework for predicting the Hi-C chromatin interactions from megabase scale DNA sequence
  ☆33Updated 9 months ago
• kipoi / kipoiseq
  Standard set of data-loaders for training and making predictions for DNA sequence-based models.
  ☆81Updated 6 months ago
• TencentAILabHealthcare / scTranslator
  ☆35Updated 7 months ago
• jimmyyhwu / deepsea
  DeepSEA in TensorFlow
  ☆29Updated 7 years ago
• HarveyYan / RNATracker
  Prediction of mRNA subcellular localization using deep recurrent neural networks
  ☆14Updated 5 years ago
• jzhoulab / puffin
  deep learning-inspired explainable sequence model for transcription initiation
  ☆93Updated this week
• weng-lab / BENGI
  ☆18Updated 2 years ago
• xCompass-AI / GeneCompass
  GeneCompass
  ☆70Updated 7 months ago
• sidhomj / DeepTCR
  Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data
  ☆117Updated 2 years ago
• xiongxslab / Translatomer
  ☆18Updated 2 weeks ago