Alternatives and similar repositories for GenNet

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

• marakeby / pnet_prostate_paper
  P-NET, Biologically informed deep neural network for prostate cancer classification and discovery
  ☆161Updated 3 years ago
• cantinilab / momix-notebook
  ☆67Updated last year
• RasmussenLab / MOVE
  MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations
  ☆84Updated 11 months ago
• lanagarmire / DeepProg
  Deep-Learning framework for multi-omic and survival data integration
  ☆84Updated last year
• arnor-sigurdsson / EIR
  A toolkit for training deep learning models on genotype, tabular, sequence, image, array and binary data.
  ☆41Updated this week
• epigenelabs / pyComBat
  pyComBat is a Python 3 implementation of ComBat, one of the most widely used tool for correcting technical biases, called batch effects, …
  ☆87Updated last year
• carpenter-singh-lab / 2022_Haghighi_NatureMethods
  High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
  ☆51Updated last month
• Christensen-Lab-Dartmouth / MethylNet
  Modular framework for deep learning predictions on methylation data.
  ☆55Updated 5 years ago
• Google-Health / genomics-research
  ☆147Updated 8 months ago
• PayneLab / cptac
  Python packaging for CPTAC data
  ☆102Updated last year
• FunctionLab / ExPecto
  predicting expression effects of human genome variants ab initio from sequence
  ☆132Updated 8 months ago
• Christensen-Lab-Dartmouth / PyMethylProcess
  Preprocessing methylation pipeline, written in python. Easy to use and highly parallelized.
  ☆36Updated 5 years ago
• xiaoyeye / CNNC
  covolutional neural network based coexpression analysis
  ☆79Updated 5 years ago
• const-ae / linear_perturbation_prediction-Paper
  ☆54Updated 2 months ago
• bowang-lab / IntegrAO
  Integrate Any Omics: Towards genome-wide data integration for patient stratification
  ☆56Updated 4 months ago
• snap-stanford / mars
  Discovering novel cell types across heterogenous single-cell experiments
  ☆123Updated 2 years ago
• davidnboone / tcga_brca_rnaseq
  jupyter notebook; perform differential gene expression analysis using DESeq2 on TCGA RNAseq data
  ☆33Updated 6 years ago
• jingcheng-du / Gene2vec
  Gene2Vec: Distributed Representation of Genes Based on Co-Expression
  ☆125Updated 3 years ago
• klarman-cell-observatory / scPhere
  ☆102Updated 2 years ago
• Lifoof / MoGCN
  Multi-omics integration method using AE and GCN
  ☆37Updated 2 years ago
• fsct135 / DCAP
  DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis
  ☆21Updated 4 years ago
• cclab-brca / neoadjuvant-therapy-response-predictor
  ☆55Updated 2 years ago
• zj-zhang / AMBER
  Automated Modelling for Biological Evidence-based Research
  ☆46Updated last year
• BIMSBbioinfo / flexynesis
  A deep-learning based multi-modal data integration suite that aims to achieve synesis in a flexible manner
  ☆86Updated last week
• BIMSBbioinfo / maui
  Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit
  ☆49Updated 2 years ago
• rezacsedu / XAI-for-bioinformatics
  Explainable AI for Bioinformatics
  ☆125Updated 2 years ago
• KrishnaswamyLab / SingleCellWorkshop
  ☆94Updated 4 years ago
• baryshnikova-lab / safepy
  Python implementation of Spatial Analysis of Functional Enrichment (SAFE)
  ☆42Updated last month
• FunctionLab / sei-framework
  code to run sei and obtain sei and sequence class predictions
  ☆109Updated 2 years ago
• rahuldhodapkar / cell2sentence
  Create cell sentences from sequencing data
  ☆23Updated last year