HHHit / DL-based-Tumor-Classification

Related projects: ⓘ

• vandijklab / scGAT
  Code to reproduce results in Ravindra NG* & Sehanobish A* et al. 2020, "Disease State Prediction From Single-Cell Data Using Graph Attent…
  ☆16Updated 4 years ago
• TeoSakel / deep-drug-response
  ☆19Updated 3 years ago
• Hua0113 / DCAP
  DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis
  ☆20Updated 3 years ago
• ChihyunPark / DNN_for_ADprediction
  ☆17Updated 3 years ago
• yunchuankong / GEDFN
  GEDFN: Graph-Embedded Deep Feedforward Network
  ☆23Updated 5 years ago
• bio-ontology-research-group / DeepMOCCA
  Graph Neural Network model for survival analysis from multi-omics data
  ☆11Updated 2 years ago
• GraphSCI / GraphSCI
  ☆12Updated this week
• danro9685 / CIMLR
  Implementations in both Matlab and R of the CIMLR method. The manuscript of the method is available at: https://www.nature.com/articles/s…
  ☆17Updated last year
• hwanglab / tcga_tmb_prediction
  TCGA BLCA tmb prediction by Hongming Xu
  ☆13Updated 3 years ago
• zeochoy / tcga-embedding
  using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data
  ☆21Updated 5 years ago
• maxconway / SNFtool
  Similarity Network Fusion
  ☆29Updated 9 years ago
• mickaelleclercq / BioDiscML
  Large-scale automatic feature selection for biomarker discovery in high-dimensional OMICs data
  ☆24Updated 5 months ago
• zhangxiaoyu11 / OmiVAE
  End-to-end deep learning model for low dimensional latent space extraction and multi-class classification on multi-omics datasets.
  ☆30Updated 3 years ago
• millett / pathology_learning
  Using traditional machine learning and deep learning methods to predict stuff from TCGA pathology slides.
  ☆18Updated 5 years ago
• giannarelli-lab / Single-Cell-Immune-Profiling-of-Atherosclerotic-Plaques
  Immune Profiling of Atherosclerotic Plaques Identifies
  ☆9Updated last year
• Christensen-Lab-Dartmouth / PyMethylProcess
  Preprocessing methylation pipeline, written in python. Easy to use and highly parallelized.
  ☆35Updated 4 years ago
• RicardoRamirez2020 / GCN_Cancer
  ☆21Updated 3 years ago
• thbuerg / NeuralCVD
  🫀 Code for "Neural network-based integration of polygenic and clinical information: Development and validation of a prediction model for…
  ☆12Updated 2 years ago
• nicococo / scRNA
  Python framework for single-cell RNA-seq clustering with special focus on transfer learning.
  ☆18Updated 5 years ago
• rezacsedu / OncoNetExplainer
  OncoNetExplainer: Explainable Prediction of Cancer Types Based on Gene Expression Data
  ☆8Updated last year
• UofLBioinformatics / circDeep
  End-to-End learning framework for circular RNA classification from other long non-coding RNA using multimodal deep learning
  ☆22Updated 4 years ago
• cantinilab / momix-notebook
  ☆60Updated 10 months ago
• jlakkis / CarDEC
  ☆19Updated 3 years ago
• DataX-JieHao / Cox-PASNet
  Pathway-based sparse deep neural network for survival analysis
  ☆36Updated last year
• SCUT-CCNL / HiGCN
  HiGCN: a hierarchical graph convolution network for representation learning of gene expression data
  ☆11Updated 3 years ago
• xiaoyeye / GCNG
  using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions
  ☆55Updated 3 years ago
• ICGC-TCGA-PanCancer / TumorType-WGS
  Classifying tumor types based on Whole Genome Sequencing (WGS) data
  ☆44Updated 10 months ago
• bowang87 / SIMLR_PY
  Python Implementation of SIMLR for single-cell visualization and analysis
  ☆22Updated 2 years ago
• lab-conrad / resVAE
  resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially usin…
  ☆12Updated last year
• raivokolde / RobustRankAggreg
  R implementation of Robust Rank Aggregation algortihm
  ☆10Updated 2 years ago