Alternatives and similar repositories for Parkinsons-Disease-Digital-Biomarker

Users that are interested in Parkinsons-Disease-Digital-Biomarker are comparing it to the libraries listed below

• DataX-JieHao / Cox-PASNet
  Pathway-based sparse deep neural network for survival analysis
  ☆38Updated last year
• keiserlab / plaquebox-paper
  Repo for Tang et al, bioRxiv 454793 (2018)
  ☆41Updated 6 years ago
• lanagarmire / cox-nnet
  ☆47Updated 8 years ago
• rezacsedu / OncoNetExplainer
  OncoNetExplainer: Explainable Prediction of Cancer Types Based on Gene Expression Data
  ☆11Updated 2 years ago
• huangzhii / SALMON
  SALMON: Survival Analysis Learning with Multi-Omics Neural Networks
  ☆67Updated 6 months ago
• liupei101 / TFDeepSurv
  COX Proportional risk model and survival analysis implemented by tensorflow.
  ☆103Updated 4 years ago
• tlatkowski / deep-learning-gene-expression
  Deep learning methods for feature selection in gene expression autism data.
  ☆36Updated 2 years ago
• arturomoncadatorres / deepsurvk
  Implementation of DeepSurv using Keras
  ☆52Updated last year
• broadinstitute / ml4h
  ☆133Updated this week
• jnkather / deep-stroma-histology
  Convolutional neural networks for extracting a "deep stroma score" from histological images of human cancer
  ☆18Updated 5 years ago
• lilizhaoUM / DNNSurv
  ☆18Updated 5 years ago
• liupei101 / Tutorial-Machine-Learning-Based-Survival-Analysis
  This repository is a tutorial about survival analysis based on advanced machine learning methods including Random Forest, Gradient Boosti…
  ☆31Updated 6 years ago
• PathologyDataScience / SurvivalNet
  Deep learning survival models
  ☆119Updated 2 years ago
• Hua0113 / DCAP
  DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis
  ☆21Updated 4 years ago
• tabibusairam / Pan-Renal-cancer
  ☆11Updated 5 years ago
• MGensheimer / nnet-survival
  Discrete-Time Survival Model for Neural Networks
  ☆92Updated last year
• millett / pathology_learning
  Using traditional machine learning and deep learning methods to predict stuff from TCGA pathology slides.
  ☆18Updated 6 years ago
• saphir746 / BiobankRead-Bash
  Python scripts to extract and pre-process UKB data
  ☆31Updated 6 years ago
• ChihyunPark / DNN_for_ADprediction
  ☆19Updated 4 years ago
• chenlabgccri / CancerTypePrediction
  This is the repository for paper titled as "Convolutional neural network models for cancer type prediction based on gene expression".
  ☆51Updated 6 years ago
• maxconway / SNFtool
  Similarity Network Fusion
  ☆32Updated 9 years ago
• TeoSakel / deep-drug-response
  ☆19Updated 4 years ago
• zeochoy / tcga-embedding
  using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data
  ☆21Updated 6 years ago
• traversc / cox-nnet
  ☆36Updated 7 years ago
• Christensen-Lab-Dartmouth / PyMethylProcess
  Preprocessing methylation pipeline, written in python. Easy to use and highly parallelized.
  ☆36Updated 5 years ago
• SCUT-CCNL / HiGCN
  HiGCN: a hierarchical graph convolution network for representation learning of gene expression data
  ☆11Updated 4 years ago
• mexchy1000 / DeepSurv_Keras
  DeepSurv code for keras
  ☆23Updated 8 years ago
• rmarkello / snfpy
  Similarity network fusion in Python
  ☆81Updated 5 years ago
• mickaelleclercq / BioDiscML
  Large-scale automatic feature selection for biomarker discovery in high-dimensional OMICs data
  ☆30Updated last year
• cbmi-uthsc / sepsisPrediction
  ☆33Updated 3 years ago