Alternatives and similar repositories for ExplaiNN:

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

• pinellolab / EPInformer
  code to run EPInformer for gene expression prediction and gene-enhancer links prioritization
  ☆34Updated last month
• mcvickerlab / GenVarLoader
  Dataloader for applying sequence models to personalized genomics
  ☆22Updated this week
• de-Boer-Lab / random-promoter-dream-challenge-2022
  ☆25Updated 9 months ago
• smaslova / AI-TAC
  ☆26Updated last year
• tanjimin / C.Origami
  C.Origami, a prediction and screening framework for cell type-specific 3D chromatin structure.
  ☆68Updated 6 months ago
• GET-Foundation / get_model
  A modular framework for multimodal cross-cell-type transcriptional regulation models
  ☆34Updated this week
• mhorlacher / rbpnet
  ☆17Updated 9 months ago
• johahi / borzoi-pytorch
  Pytorch implementation of the Borzoi model from Calico, and Flashzoi, a 3x faster Borzoi enhancement.
  ☆28Updated this week
• jmschrei / tfmodisco-lite
  A lite implementation of tfmodisco, a motif discovery algorithm for genomics experiments.
  ☆64Updated 6 months ago
• bernardo-de-almeida / DeepSTARR
  Deep learning model built to quantitatively predict the activities of developmental and housekeeping enhancers from DNA sequence in Droso…
  ☆55Updated last year
• vagarwal87 / Xpresso
  Predicting gene expression levels from genomic sequences
  ☆50Updated 4 years ago
• sjgosai / boda2
  Computational Optimization of DNA Activity (CODA)
  ☆51Updated last week
• noamteyssier / adpbulk
  pseudobulking on an AnnData object
  ☆28Updated last year
• MiraldiLab / maxATAC
  Transcription Factor Binding Prediction from ATAC-seq and scATAC-seq with Deep Neural Networks
  ☆27Updated 3 months ago
• Genentech / decima
  Decima is a Python library to train sequence models on single-cell RNA-seq data.
  ☆23Updated 3 months ago
• vagarwal87 / saluki_paper
  Saluki, a method to predict mRNA half-lives from sequence
  ☆22Updated 2 years ago
• brineylab / grp-paper
  Code and data used in The Great Repertoire Project
  ☆29Updated 3 years ago
• brianhie / geosketch
  Geometry-preserving random sampling
  ☆77Updated 2 months ago
• ML4GLand / EUGENe
  Elucidating the Utility of Genomic Elements with Neural Nets
  ☆65Updated last month
• FunctionLab / sei-framework
  code to run sei and obtain sei and sequence class predictions
  ☆95Updated 2 years ago
• altoslabs / perturbench
  ☆21Updated last week
• statbiophys / OLGA
  Compute generation probabilities of CDR3 amino acid and nucleotide sequences
  ☆49Updated 3 years ago
• MaayanLab / blitzgsea
  Fast Gene Set Enrichment Analysis (GSEA) implementation of the prerank algorithm. Use Loess interpolation of bimodal ES distribution for …
  ☆41Updated 4 months ago
• epigen / KPNN
  Knowledge-primed neural networks
  ☆35Updated last year
• p-koo / creme-nn
  https://www.biorxiv.org/content/10.1101/2023.07.03.547592v2
  ☆26Updated 5 months ago
• jzhoulab / puffin_manuscript
  ☆17Updated 2 months ago
• cantinilab / HuMMuS
  Molecular interactions inference from single-cell multi-omics data
  ☆22Updated 2 months ago
• emmijokinen / TCRconv
  TCRconv is a deep learning model for predicting recognition between T cell receptors and epitopes. It uses protBERT embeddings for the TC…
  ☆23Updated 2 years 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 week
• zakieh-tayyebi / CellSpace
  Scalable sequence-informed embedding of single-cell ATAC-seq data with CellSpace
  ☆36Updated last week