Alternatives and similar repositories for MethylNet

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

• PMBio / deepcpg
  Deep neural networks for predicting CpG methylation
  ☆37Updated 8 years ago
• Christensen-Lab-Dartmouth / PyMethylProcess
  Preprocessing methylation pipeline, written in python. Easy to use and highly parallelized.
  ☆36Updated 5 years ago
• BIMSBbioinfo / maui
  Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit
  ☆49Updated 2 years ago
• ICGC-TCGA-PanCancer / TumorType-WGS
  Classifying tumor types based on Whole Genome Sequencing (WGS) data
  ☆48Updated last year
• kundajelab / alzheimers_parkinsons
  Collaboration with Montine, Chang, and Montgomery labs on Alzheimers / Parkinson's ATAC-seq analysis
  ☆46Updated 5 years ago
• umccr / neoantigens
  🏺 Exploring novel tumor epitope identification
  ☆36Updated 5 years ago
• urmi-21 / COVID-19-RNA-Seq-datasets
  A repository for sharing information on available COVID-19 RNA-Seq datasets
  ☆80Updated 3 years ago
• Xinglab / DARTS
  Deep-learning Augmented RNA-seq analysis of Transcript Splicing
  ☆114Updated last year
• ucscXena / xenaPython
  Python API for Xena Hub
  ☆53Updated 2 years ago
• kircherlab / CADD-scripts
  CADD scripts release for offline scoring. For more information about CADD, please visit our website
  ☆86Updated 4 months ago
• KrishnaswamyLab / SingleCellWorkshop
  ☆95Updated 4 years ago
• NVIDIA-Genomics-Research / AtacWorks
  Deep learning based processing of Atac-seq data
  ☆131Updated 2 years ago
• jzhoulab / orca
  sequence-based prediction of multiscale genome structure from kilobase to whole-chromosome scale
  ☆93Updated 7 months ago
• suinleelab / deepprofile-study
  Code for paper "A deep profile of gene expression across 18 human cancers"
  ☆27Updated 10 months ago
• wanwenzeng / ep2vec
  ☆22Updated 8 years ago
• urmi-21 / pyrpipe
  Reproducible bioinformatics pipelines in python. Import any Unix tool/command in python.
  ☆84Updated 4 years ago
• LieberInstitute / INTERACT
  ☆10Updated 3 years ago
• ylab-hi / ScanNeo
  A pipeline for identifying indel derived neoantigens using RNA-Seq data
  ☆30Updated 3 years ago
• greenelab / pancancer
  Building classifiers using cancer transcriptomes across 33 different cancer-types
  ☆120Updated 6 years ago
• epigen / KPNN
  Knowledge-primed neural networks
  ☆38Updated 2 years ago
• arnor-sigurdsson / EIR
  A toolkit for training deep learning models on genotype, tabular, sequence, image, array and binary data.
  ☆41Updated last week
• johli / aparent
  APA Regression Net - Predict and Engineer Alternative Polyadenylation
  ☆39Updated 4 years ago
• mdozmorov / gwas2bed
  Extracting disease-specific genomic coordinates from GWAS catalog
  ☆21Updated 5 years ago
• MaayanLab / blitzgsea
  Fast Gene Set Enrichment Analysis (GSEA) implementation of the prerank algorithm. Use Loess interpolation of bimodal ES distribution for …
  ☆52Updated 5 months ago
• kundajelab / bpnet
  Toolkit to train base-resolution deep neural networks on functional genomics data and to interpret them
  ☆166Updated last week
• FunctionLab / sei-framework
  code to run sei and obtain sei and sequence class predictions
  ☆109Updated 2 years ago
• Roth-Lab / pyclone-vi
  Fast method for inferring cancer clonal population structure from SNV data.
  ☆60Updated last month
• Hughes-Genome-Group / deepC
  A neural network framework for predicting the Hi-C chromatin interactions from megabase scale DNA sequence
  ☆33Updated last year
• kundajelab / ChromDragoNN
  Code for the paper "Integrating regulatory DNA sequence and gene expression to predict genome-wide chromatin accessibility across cellula…
  ☆44Updated 4 years ago
• epigenelabs / inmoose
  InMoose is the INtegrated Multi Omic Open Source Environment. It is a collection of tools for the analysis of omic data.
  ☆109Updated last month