Alternatives and similar repositories for dcapy

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

• rmarkello / snfpy
  Similarity network fusion in Python
  ☆90Updated 5 years ago
• sysbio-curie / multipit
  Fusion strategies to build multimodal predictors for the prediction of immunotherapy response in non-small cell lung cancer
  ☆15Updated last year
• keiserlab / plaquebox-paper
  Repo for Tang et al, bioRxiv 454793 (2018)
  ☆43Updated 6 years ago
• LambertLeong / AUC_NRI_IDI_python_functions
  Custom python functions to help you further analyse machine learning models and diagnostic test
  ☆18Updated 7 months ago
• noxtoby / TADPOLE
  Helper scripts for TADPOLE Challenge 2017: http://tadpole.grand-challenge.org
  ☆51Updated 4 years ago
• jianglindong93 / AUTOSurv
  ☆19Updated 2 years ago
• ucl-pond / pySuStaIn
  Subtype and Stage Inference (SuStaIn) algorithm with an example using simulated data.
  ☆194Updated 3 months ago
• cgplab / RadAR
  A tool to perform comprehensive analysis of high-dimensional radiomic datasets
  ☆14Updated 4 years ago
• huangzhii / SALMON
  SALMON: Survival Analysis Learning with Multi-Omics Neural Networks
  ☆66Updated last year
• 88vikram / pyebm
  pyebm - A toolbox for Event Based Models
  ☆28Updated 4 years ago
• Warvito / neurocombat_sklearn
  Implementation of Combat harmonization method with scikit-learn compatible format
  ☆23Updated 6 years ago
• luisvalesilva / multisurv
  Multimodal deep learning model for long-term cancer survival prediction
  ☆89Updated 3 years ago
• Jfortin1 / EveTemplate
  JHU-MNI-ss (Eve) Template
  ☆15Updated 5 years ago
• parisots / gcn
  Implementation of Graph Convolutional Networks in TensorFlow
  ☆12Updated 8 years ago
• EVPlab / Chronic-Pain-Spreading
  A Data-Driven Biopsychosocial Framework Determining the Spreading of Chronic Pain
  ☆13Updated 2 years ago
• Jfortin1 / neuroCombat
  Harmonization of multi-site imaging data with ComBat (Python)
  ☆161Updated 2 years ago
• mrahim / adni_rs_fmri_analysis
  ADNI resting-state fMRI analysis scripts
  ☆13Updated 10 years ago
• liupei101 / TFDeepSurv
  COX Proportional risk model and survival analysis implemented by tensorflow.
  ☆106Updated 4 years ago
• aramis-lab / AD-ML
  Framework for the reproducible classification of Alzheimer's disease using machine learning
  ☆42Updated 3 years ago
• lanagarmire / cox-nnet
  ☆47Updated 8 years ago
• arturomoncadatorres / deepsurvk
  Implementation of DeepSurv using Keras
  ☆52Updated 2 years ago
• vipul105 / Alzheimers_Disease_Progression
  Code for analysis of ADNI data
  ☆38Updated 3 years ago
• radxtools / collageradiomics
  Python Implementation of the CoLlAGe radiomics descriptor. CoLlAGe captures subtle anisotropic differences in disease pathologies by meas…
  ☆19Updated 2 years ago
• easylearn-fmri / easylearn_dev
  Easylearn is designed for machine learning mainly in resting-state fMRI, radiomics and other fields (such as EEG). Easylearn is built on …
  ☆38Updated 2 years ago
• javadnoorb / HistCNN
  A set of codes to classify H&E slides using deep learning
  ☆29Updated 3 years ago
• irimia-laboratory / USC_BA_estimator
  ☆22Updated last year
• traversc / cox-nnet
  ☆37Updated 8 years ago
• bsearchinger / ADNI
  Using machine learning techniques to predict the onset of Alzheimer's disease for participants in the ADNI study
  ☆32Updated 4 years ago
• xiawei999000 / GBM_PCNSL_CNN_modeling
  Deep Learning for Automatic Differential Diagnosis of Primary Central Nervous System Lymphoma and Glioblastoma: Multi-parametric MRI base…
  ☆14Updated 4 years ago
• lilizhaoUM / DNNSurv
  ☆19Updated 5 years ago