Alternatives and similar repositories for Machine-Learning-for-Biomedical-Data:

Users that are interested in Machine-Learning-for-Biomedical-Data are comparing it to the libraries listed below

• kamruleee51 / Diabetes-Prediction-Using-ML-Classifiers
  A robust framework was proposed where outlier rejection, filling the missing values, data standardization, K-fold validation, and differe…
  ☆18Updated 4 years ago
• LincolnSteinLab / MMDRP
  Drug Response Prediction and Biomarker Discovery Using Multi-Modal Deep Learning
  ☆13Updated 9 months ago
• LamineTourelab / MOGONET
  MOGONET (Multi-Omics Graph cOnvolutional NETworks) is multi-omics data integrative analysis framework for classification tasks in biomedi…
  ☆13Updated 11 months ago
• juexinwang / scGNN
  scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks
  ☆140Updated 6 months ago
• kexinhuang12345 / ml-genomics-resources
  Machine Learning for Genomics and Therapeutics Resources (Cell Patterns)
  ☆76Updated 3 years ago
• dataprofessor / bioinformatics_freecodecamp
  ☆137Updated 3 years ago
• chl8856 / Dynamic-DeepHit
  Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data
  ☆67Updated 4 years ago
• rezacsedu / Deep-Learning-for-Clustering-in-Bioinformatics
  Deep Learning-based Clustering Approaches for Bioinformatics
  ☆134Updated 4 years ago
• tomer1812 / pydts
  ☆23Updated 3 months ago
• i6092467 / vadesc
  A probabilistic model to cluster survival data in a variational deep clustering setting
  ☆30Updated 2 years ago
• RyanWangZf / SurvTRACE
  SurvTRACE: Transformers for Survival Analysis with Competing Events
  ☆47Updated last year
• reneshbedre / bioinfokit
  Bioinformatics data analysis and visualization toolkit
  ☆343Updated 8 months ago
• dataprofessor / dataprofessor
  ☆110Updated last year
• laurahdezlorenzo / graph_genetics
  Phenotype prediction through genotype by means of GNNs
  ☆12Updated 2 years ago
• RasmussenLab / MOVE
  MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations
  ☆71Updated 3 months ago
• lschmiddey / Autoencoder
  Autoencoder on tabular data
  ☆14Updated 3 years ago
• shu65 / open-problems-multimodal
  1st place solution of Kaggle Open Problems - Multimodal Single-Cell Integration
  ☆42Updated last year
• TAMU-ESP / pinn-for-physiological-timeseries
  ☆29Updated last year
• mortazavilab / PyWGCNA
  PyWGCNA is a Python package designed to do Weighted Gene Correlation Network analysis (WGCNA)
  ☆230Updated 2 months ago
• KasperGroesLudvigsen / xgboost_time_series
  How to use XGBoost for multi-step time series forecasting
  ☆38Updated 2 years ago
• Orbifold / drug-repurposing
  Drug Repurposing using TigerGraph and Graph Machine Learning.
  ☆17Updated 2 years ago
• i6092467 / pediatric-appendicitis-ml
  Using ML to predict the diagnosis, management, and severity of pediatric appendicitis
  ☆10Updated last year
• kimmo1019 / DeepCDR
  Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network
  ☆77Updated last year
• Lifoof / MoGCN
  Multi-omics integration method using AE and GCN
  ☆33Updated last year
• mousepixels / sanbomics_scripts
  scripts and notebooks from sanbomics
  ☆384Updated 2 months ago
• RicardoRamirez2020 / GCN_Cancer
  ☆21Updated 4 years ago
• johanndejong / VaDER
  Deep learning for clustering of multivariate short time series with potentially many missing values
  ☆42Updated 10 months ago
• ComputationalAgingLab / ComputAge
  A library for full-stack aging clocks design and benchmarking.
  ☆28Updated this week
• TencentAILabHealthcare / scpDeconv
  ☆10Updated 10 months ago