Software and Datasets
New: Multiview Dashboard for Integrative Analysis. We will be adding more methods and scaling it to high-dimensional data
Integrative Analysis: Deep Learning and Kernel Methods
R package RandMVLearn for the paper Scalable Randomized Kernel Methods for Multiview Data Integration and Prediction
Python Codes Deep IDA for the paper Deep IDA: A Deep Learning Method for Integrative Discriminant Analysis of Multi-View Data with Feature Ranking [Credit to Jiuzhou Wang]
R package iDeepViewLearn for the paper Interpretable Deep Learning for Multiview Learning [Credit to Hengkang Wang]
Integrative Analysis: Linear Methods
HIP Python codes and Shiny App for the paper HIP: a method for high-dimensional multi-view data integration and prediction accounting for subgroup heterogeneity [Credit to Jessica Butts]
R package mvlearnR for a comprehensive data integration workflow
iSSVD (GitHub) for the paper Robust Integrative Biclustering for Multi-view Data [Credit to Weije Zhang]
R package SIDA ( GitHub) for the paper Sparse Linear Discriminant Analysis for Multiview Structured Data
Matlab code SIDA and SIDANet for the paper Sparse Linear Discriminant Analysis for Multiview Structured Data
R package BIPNet (GitHub) for the paper Bayesian Integrative Analysis and Prediction with Application to Atherosclerosis Cardiovascular Disease (Thierry Chekouo and Sandra E. Safo), [Credit to Thierry Chekuou]
Matlab code sSCCA for the paper Integrative analysis of transcriptomic and metabolomic data via sparse canonical correlation analysis with incorporation of biological information (Sandra E. Safo, Shuzhao Li, Qi Long)
Matlab code SELPCCA for the paper Sparse generalized eigenvalue problem with application to canonical correlation analysis for integrative analysis of methylation and gene expression data (Sandra E.Safo, Jeongyoun Ahn, Yongho Jeon, Sungkyu Jung)
Classification and Discriminant Analysis
R package SIDA ( GitHub) for the paper Sparse Linear Discriminant Analysis for Multiview Structured Data (Sandra E. Safo, Eun Jeong Min, and Lillian Haine), Submitted
Matlab code SIDA and SIDANet for the paper Sparse Linear Discriminant Analysis for Multiview Structured Data (Sandra E. Safo, Eun Jeong Min, and Lillian Haine)
Matlab Code sSLDA for the paper Sparse Linear Discriminant Analysis in Structured Covariates Space (Sandra E. Safo and Qi Long).
Datasets