Alternatives and similar repositories for Genome-Deep-Learning

Users that are interested in Genome-Deep-Learning are comparing it to the libraries listed below

• TeoSakel / deep-drug-response
  ☆19Updated 5 years ago
• davidnboone / tcga_brca_rnaseq
  jupyter notebook; perform differential gene expression analysis using DESeq2 on TCGA RNAseq data
  ☆33Updated 6 years ago
• arefeen / DeepPASTA
  ☆10Updated 5 years ago
• UofLBioinformatics / circDeep
  End-to-End learning framework for circular RNA classification from other long non-coding RNA using multimodal deep learning
  ☆25Updated 5 years ago
• yunchuankong / GEDFN
  GEDFN: Graph-Embedded Deep Feedforward Network
  ☆23Updated 6 years ago
• JanZrimec / DeepExpression
  ☆33Updated 3 years ago
• ucscXena / xenaPython
  Python API for Xena Hub
  ☆55Updated 2 years ago
• mit6874 / mit6874.github.io
  ☆50Updated 4 years ago
• BIMSBbioinfo / maui
  Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit
  ☆50Updated 2 years ago
• zeochoy / tcga-embedding
  using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data
  ☆21Updated 7 years ago
• ICGC-TCGA-PanCancer / TumorType-WGS
  Classifying tumor types based on Whole Genome Sequencing (WGS) data
  ☆49Updated 2 years ago
• bio-ontology-research-group / deepgo
  Function prediction using a deep ontology-aware classifier
  ☆85Updated 3 years ago
• mickaelleclercq / BioDiscML
  Large-scale automatic feature selection for biomarker discovery in high-dimensional OMICs data
  ☆32Updated 5 months ago
• MedChaabane / DeepBind-with-PyTorch
  CNN architecture for predicting DNA binding sites for Transcription Factors
  ☆52Updated 6 years ago
• uci-cbcl / FactorNet
  A deep learning package for predicting TF binding
  ☆42Updated 5 years ago
• Christensen-Lab-Dartmouth / PyMethylProcess
  Preprocessing methylation pipeline, written in python. Easy to use and highly parallelized.
  ☆36Updated 5 years ago
• ilanbb / dlprb
  DLPRB: A Deep Learning Approach for Predicting Protein-RNA Binding
  ☆13Updated 7 years ago
• zj-zhang / AMBER
  Automated Modelling for Biological Evidence-based Research
  ☆47Updated 2 years ago
• fsct135 / DCAP
  DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis
  ☆21Updated 4 years ago
• Bjoux2 / DeepLearning-in-Bioinformatics
  For anyone who are eager to applying deep learning in bioinformatics!
  ☆124Updated 7 years ago
• masato-ogishi / Repitope
  Epitope immunogenicity prediction through in silico TCR-peptide contact potential profiling.
  ☆25Updated 2 years ago
• johli / aparent
  APA Regression Net - Predict and Engineer Alternative Polyadenylation
  ☆40Updated 4 years ago
• kipoi / kipoiseq
  Standard set of data-loaders for training and making predictions for DNA sequence-based models.
  ☆83Updated last year
• cmap / lincs-workshop-2020
  CMap Notebooks for LINCS 2020 Workshop
  ☆49Updated 4 years ago
• BIMSBbioinfo / compgen2021
  ☆77Updated 4 years ago
• ShenLab-Genomics / SpliceTransformer
  SpliceTransformer(SpTransformer) is a deep learning tool to predict tissue specific splicing site from pre-mRNA sequence
  ☆32Updated last year
• varnivey / ipanda
  insilico Pathway Activation Network Decomposition Analysis (iPANDA) package. Owned by Insilico Medicine Inc. iPANDA is a pathway analysis…
  ☆29Updated 8 years ago
• SBRG / Protein_ML
  Machine learning workflows for analyzing high-throughput protein data
  ☆26Updated 9 years ago
• CancerRxGene / gdsctools
  Tools related to the Genomics of Drug Sensitivity in Cancer (GDSC) projects (http://www.cancerrxgene.org/ )
  ☆36Updated 3 years ago
• epigen / KPNN
  Knowledge-primed neural networks
  ☆38Updated 2 years ago