List of software packages for multi-omics data analysis. A shameless copy of Sean Davis' awesome-single-cell repo.
For brevity, below lists only the first author of multi-omics methods.
- 2007 - SCCA - Parkhomenko - sparse CCA - paper 1, paper 2
- 2008 - PCCA - Waaijenborg - penalized CCA / CCA-EN - paper
- 2009 - Sparse mCCA - Witten - paper 1, paper 2
- 2009 - sPLS - Lê Cao - sparse PLS - paper
- 2009 - RGSCA - Hwang - regularized generalized structured component analysis - paper
- 2010 - Regularized dual CCA - Soneson - paper
- 2012 - Bayesian group factor analysis - Virtanen - paper
- 2012 - STATIS/DiSTATIS - Abdi - structuring three-way statistical tables - paper
- 2013 - MFA - Abdi - multiple factor analysis - paper
- 2013 - JIVE - Lock - joint & individual variance explained - paper
- 2014 - MCIA - Meng - multiple co-interia analysis - paper
- 2014 - RGCCA - Tenenhaus - regularized generalized CCA - paper
- 2014 - STATegRa - Gomez-Cabrero - DISCO, JIVE, & O2PLS (several papers)
- 2014 - Joint factor model - Ray - paper
- 2014 - GFAsparse - Khan - group factor analysis sparse paper 1, paper 2
- 2015 - CCAGFA - Klami - Bayesian Canonical Correlation Analysis and Group Factor Analysis - paper 1, paper 2
- 2016 - CMF - Klami - collective matrix factorization
- 2016 - Bayesian group factor analysis - Zhao - paper
- 2016 - MSFA - De Vito - multi-study factor analysis: same features, different samples - paper
- 2016 - moGSA - Meng - multi-omics gene set analysis - paper
- 2016 - iNMF - Yang - integrative NMF - paper
- 2017 - mixOmics - Rohart - paper
- 2017 - mixedCCA - Gaynanova - sparse CCA for data of mixed types - paper
- 2017 - SLIDE - Gaynanova - Structural Learning and Integrative Decomposition of Multi-View Data - paper
- 2017 - fCCAC - Madrigal - functional canonical correlation analysis to evaluate covariance - paper
- 2017 - TSKCCA - Yoshida - Sparse kernel canonical correlation analysis - paper
- 2018 - AJIVE - Feng - angle-based JIVE - paper
- 2018 - MOFA - Argelaguet - multi-omics factor analysis - paper, application
- 2018 - PCA+CCA - Brown - paper
- 2018 - maui - Ronen - multi-omics autoencoder integration - paper
- 2018 - JACA - Zhang - Joint Association and Classification Analysis - paper
- 1994 - COI - Doledec - Co‐inertia analysis - paper
- 2007 - ade4 - Dray - Implementing the Duality Diagram for Ecologists - paper
- 1987 - Wold - Multi‐way principal components‐and PLS‐analysis - paper
- 1996 - Wold - Hierarchical multiblock PLS - paper
- 2003 - Trygg - O2‐PLS, a two‐block (X–Y) latent variable regression (LVR) - paper
- 2011 - Hanafi - Connections between multiple COI and consensus PCA - paper
- 2015 - THEME - Verron - THEmatic Model Exploration - paper
- 2013 - Schouteden - DISCO SCA - distinctive and common components with simultaneous-component analysis- paper 1, paper 2
Note: I think that prediction of genomic tracks, e.g. ChIP-seq, from other genomic tracks is a large area of research that may deserve a separate repository. Below are methods for classification / prediction / regression of samples or outcomes.
- 2009 - iCluster - Shen - paper
- 2013 - iCluster+ - Mo - paper
- 2014 - SNF - Wang - paper
- 2019 - IBOOST - Wong - paper
- 2018 - cardelino - assign gene expression states to clones by integrating SNVs from scRNA-seq with bulk exome data
- 2018 - clonealign - assign gene expression states to clones by integrating scRNA-seq with scDNA-seq (CNV) data - paper
- 2014 - Kohl - A practical data processing workflow for multi-OMICS projects
- 2016 - Ebrahim - Multi-omic data integration enables discovery of hidden biological regularities
- 2016 - Meng - Dimension reduction techniques for the integrative analysis of multi-omics data
- 2017 - Huang - More Is Better: Recent Progress in Multi-Omics Data Integration Methods
- 2017 - Hasin - Multi-omics approaches to disease
- 2017 - Allen - Statistical data integration: Challenges and opportunities
- 2018 - McCabe - MOVIE: Multi-Omics VIsualization of Estimated contributions - code
- 2018 - Rappoport - Multi-omic and multi-view clustering algorithms: review and cancer benchmark
- 2018 - Bougeard - Current multiblock methods: Competition or complementarity? A comparative study in a unified framework
- 2007 - Fagan - A multivariate analysis approach to the integration of proteomic and gene expression data
- 2014 - Tomescu - Integrative omics analysis. A study based on Plasmodium falciparum mRNA and protein data
- 2016 - Wan - TCGA2STAT: simple TCGA data access for integrated statistical analysis in R - R notebook