Alternatives and similar repositories for build-deepsea-training-dataset:

Users that are interested in build-deepsea-training-dataset are comparing it to the libraries listed below

• sjgosai / boda2
  Computational Optimization of DNA Activity (CODA)
  ☆56Updated last month
• autosome-ru / LegNet
  accurate prediction of promoter activity and variant effects from massive parallel reporter assays
  ☆34Updated 4 months ago
• amberT15 / LLM_eval
  Code repository for study ''Evaluating the representational power of pre-trained DNA language models for regulatory genomics"
  ☆17Updated 8 months ago
• kundajelab / DART-Eval
  ☆28Updated this week
• calico / borzoi
  RNA-seq prediction with deep convolutional neural networks.
  ☆127Updated 3 months ago
• MedChaabane / DeepBind-with-PyTorch
  CNN architecture for predicting DNA binding sites for Transcription Factors
  ☆51Updated 6 years ago
• johli / scrambler
  Interpretation by Deep Generative Masking for Biological Sequences
  ☆37Updated 3 years ago
• dohlee / chromoformer
  The official code implementation for Chromoformer in PyTorch. (Lee et al., Nature Communications. 2022)
  ☆34Updated last year
• Genentech / regLM
  Toolkit for training hyenaDNA-based autoregressive language models on DNA sequences.
  ☆36Updated 5 months ago
• evanseitz / squid-nn
  surrogate quantitative interpretability for deepnets
  ☆21Updated 8 months ago
• sidhomj / DeepTCR
  Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data
  ☆117Updated 2 years ago
• GET-Foundation / get_model
  A modular framework for multimodal cross-cell-type transcriptional regulation models
  ☆61Updated this week
• pinellolab / EPInformer
  code to run EPInformer for gene expression prediction and gene-enhancer links prioritization
  ☆35Updated 3 months ago
• wukevin / tcr-bert
  Large language modeling applied to T-cell receptor (TCR) sequences.
  ☆50Updated 2 years ago
• tianshilu / pMTnet
  Deep Learning the T Cell Receptor Binding Specificity of Neoantigen
  ☆78Updated 2 years ago
• johli / seqprop
  Stochastic Sequence Propagation - A Keras Model for optimizing DNA, RNA and protein sequences based on a predictor
  ☆45Updated 6 months ago
• frederikkemarin / BEND
  Benchmarking DNA Language Models on Biologically Meaningful Tasks
  ☆106Updated 4 months ago
• PaccMann / TITAN
  Code for "T Cell Receptor Specificity Prediction with Bimodal Attention Networks" (https://doi.org/10.1093/bioinformatics/btab294, ISMB 2…
  ☆29Updated last year
• pjsample / human_5utr_modeling
  Modeling of human 5′ UTRs enables the design of new sequences for target levels of translation and 5′ UTR variant prediction.
  ☆44Updated 5 years ago
• johli / genesis
  Deep Exploration Networks - Diverse Deep Generative Models for DNA, RNA and Protein Sequences
  ☆28Updated 3 years ago
• de-Boer-Lab / random-promoter-dream-challenge-2022
  ☆27Updated last month
• johahi / borzoi-pytorch
  Pytorch implementation of the Borzoi model from Calico, and Flashzoi, a 3x faster Borzoi enhancement.
  ☆40Updated last month
• ntranoslab / esm-variants
  ☆71Updated last year
• tanjimin / C.Origami
  C.Origami, a prediction and screening framework for cell type-specific 3D chromatin structure.
  ☆72Updated 7 months ago
• epigen / KPNN
  Knowledge-primed neural networks
  ☆35Updated last year
• theislab / chemCPA
  Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
  ☆108Updated 3 weeks ago
• kundajelab / bpnet
  Toolkit to train base-resolution deep neural networks on functional genomics data and to interpret them
  ☆151Updated 7 months ago
• KarchinLab / bigmhc
  BigMHC predicts MHC-I (neo)epitope presentation and immunogenicity
  ☆50Updated 10 months ago
• Genentech / polygraph
  Polygraph evaluates and compares groups of nucleic acid sequences based on their sequence and functional content for effective design of …
  ☆28Updated last month
• phbradley / TCRdock
  python tools for TCR:peptide-MHC modeling and analysis
  ☆71Updated 10 months ago