Alternatives and similar repositories for methylbert:

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

• pinellolab / EPInformer
  code to run EPInformer for gene expression prediction and gene-enhancer links prioritization
  ☆38Updated 4 months ago
• FunctionLab / sei-framework
  code to run sei and obtain sei and sequence class predictions
  ☆99Updated 2 years ago
• sjgosai / boda2
  Computational Optimization of DNA Activity (CODA)
  ☆56Updated 2 months ago
• de-Boer-Lab / random-promoter-dream-challenge-2022
  ☆27Updated 2 months ago
• mostafavilabuw / EnformerAssessment
  ☆19Updated 7 months ago
• johahi / borzoi-pytorch
  Pytorch implementation of the Borzoi model from Calico, and Flashzoi, a 3x faster Borzoi enhancement.
  ☆42Updated this week
• kundajelab / DART-Eval
  ☆32Updated this week
• bernardo-de-almeida / DeepSTARR
  Deep learning model built to quantitatively predict the activities of developmental and housekeeping enhancers from DNA sequence in Droso…
  ☆58Updated last year
• wassermanlab / ExplaiNN
  ExplaiNN: interpretable and transparent neural networks for genomics
  ☆47Updated last month
• jzhoulab / puffin
  deep learning-inspired explainable sequence model for transcription initiation
  ☆93Updated 3 weeks ago
• Genentech / decima
  Decima is a Python library to train sequence models on single-cell RNA-seq data.
  ☆24Updated last week
• ArcInstitute / SRAgent
  LLM agents for working with the SRA and associated bioinformatics databases.
  ☆48Updated this week
• epigen / KPNN
  Knowledge-primed neural networks
  ☆35Updated 2 years ago
• Center-for-Health-Data-Science / multiDGD
  ☆24Updated 2 months ago
• MiraldiLab / maxATAC
  Transcription Factor Binding Prediction from ATAC-seq and scATAC-seq with Deep Neural Networks
  ☆28Updated 3 weeks 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…
  ☆24Updated 2 years ago
• ni-lab / personalized-expression-benchmark
  Evaluating genomic sequence models for explaining personalized expression variation
  ☆19Updated last year
• PMBio / deeprvat
  ☆38Updated this week
• p-koo / creme-nn
  https://www.biorxiv.org/content/10.1101/2023.07.03.547592v2
  ☆29Updated 2 months ago
• aertslab / CREsted
  CREsted is a Python package for training sequence-based deep learning models on scATAC-seq data, for capturing enhancer code and for desi…
  ☆32Updated this week
• tanjimin / C.Origami
  C.Origami, a prediction and screening framework for cell type-specific 3D chromatin structure.
  ☆73Updated 8 months ago
• ML4GLand / EUGENe
  Elucidating the Utility of Genomic Elements with Neural Nets
  ☆68Updated 3 months ago
• mhorlacher / rbpnet
  ☆18Updated last year
• uio-bmi / immuneML
  immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.
  ☆67Updated this week
• jzhoulab / puffin_manuscript
  ☆17Updated 5 months ago
• pfenninglab / TACIT
  OCR-Phenotype Association from Tissue-Aware Conservation Inference Toolkit
  ☆18Updated 6 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 2 months ago
• GET-Foundation / get_model
  A modular framework for multimodal cross-cell-type transcriptional regulation models
  ☆64Updated 3 weeks ago
• vagarwal87 / saluki_paper
  Saluki, a method to predict mRNA half-lives from sequence
  ☆22Updated 2 years ago
• DanHanh / scLinear
  ☆19Updated 8 months ago