awesome-multi-omics
Multi-omics analysis library
A collection of software packages for analyzing multi-omics data from different assays.
List of software packages for multi-omics analysis
732 stars
54 watching
163 forks
last commit: 7 months ago
Linked from 1 awesome list
awesome-multi-omics / Software packages and methods / Multi-omics correlation or factor analysis | |||
paper 1 | 2007 - - Parkhomenko - sparse CCA - , | ||
paper | 2008 - - Waaijenborg - penalized CCA / CCA-EN - | ||
PMA | 2009 - - Witten - Sparse Multi CCA - , | ||
paper | 2009 - - Lê Cao - sparse PLS - | ||
gesca | 2009 - - Hwang - RGSCA regularized generalized structured component analysis - | ||
paper | 2010 - - Soneson - | ||
RGCCA | 2011 - - Tenenhaus - Regularized Generalized CCA and Sparse Generalized CCA - , | ||
paper | 2011 - - Zhang - Sparse Network-regularized Multiple Non-negative Matrix Factorization - | ||
scca | 1 | over 7 years ago | 2011 - - Lee - Sparse Canonical Covariance Analysis for High-throughput Data - |
STATIS/DiSTATIS | 4 | about 1 year ago | 2012 - - Abdi - structuring three-way statistical tables - |
paper | 2012 - - Zhang - extension of NMF to multiple datasets - | ||
paper | 2012 - - Li - sparse MultiBlock Partial Least Squares - | ||
paper | 2012 - - Virtanen - | ||
RIMBANET | 2012 - - Zhu - Reconstructing Integrative Molecular Bayesian Networks - | ||
FactoMineR | 2013 - - Abdi - MFA: multiple factor analysis - | ||
JIVE | 2013 - - Lock - joint & individual variance explained - | ||
pandaR | 2013 - - Schlauch - Passing Attributes between Networks for Data Assimilation - | ||
omicade4 | 2014 - - Meng - MCIA: multiple co-interia analysis - | ||
STATegRa | 2014 - - Planell - DISCO, JIVE, & O2PLS - | ||
paper | 2014 - - Ray - | ||
GFAsparse | 2014 - - Khan - group factor analysis sparse , | ||
paper 1 | 2015 - - Gao (3rd paper first author is Chen) - , , | ||
CCAGFA | 2015 - - Klami - Bayesian Canonical Correlation Analysis and Group Factor Analysis - , | ||
CMF | 2016 - - Klami - collective matrix factorization - | ||
moGSA | 2016 - - Meng - multi-omics gene set analysis - | ||
iNMF | 16 | over 6 years ago | 2016 - - Yang - integrative NMF - |
BASS | 20 | almost 9 years ago | 2016 - - Zhao - Bayesian group factor analysis - |
missMDA | 2016 - in - Voillet - multiple imputation for multiple factor analysis (MI-MFA) - | ||
PLSCA | 1 | almost 8 years ago | 2016 - - Beaton - Partial Least Square Correspondence Analysis - |
mixOmics | 2017 - - Rohart - various methods - , | ||
mixedCCA | 20 | about 2 years ago | 2017 - - Yoon - sparse CCA for data of mixed types - |
SLIDE | 7 | over 3 years ago | 2017 - - Gaynanova - Structural Learning and Integrative Decomposition of Multi-View Data - |
fCCAC | 0 | over 2 years ago | 2017 - - Madrigal - functional canonical correlation analysis to evaluate covariance - |
TSKCCA | 6 | over 6 years ago | 2017 - - Yoshida - Sparse kernel canonical correlation analysis - |
paper | 2017 - - Kawaguchi - Supervised multiblock sparse multivariable analysis - | ||
AJIVE | 4 | 8 months ago | 2018 - - Feng - angle-based JIVE - |
MOFA | 235 | about 4 years ago | 2018 - - Argelaguet - multi-omics factor analysis - , , |
PCA+CCA | 18 | almost 6 years ago | 2018 - - Brown - |
JACA | 3 | over 3 years ago | 2018 - - Zhang - Joint Association and Classification Analysis - |
paper | 2018 - - Tang - Integrated Principal Components Analysis - | ||
pCIA | 2018 - - Min - penalized COI - | ||
paper | 2018 - - Safo - structured sparse CCA - | ||
paper | 2018 - - Min - Sparse Weighted CCA - | ||
OmicsPLS | 31 | over 2 years ago | 2018 - - Bouhaddani - O2PLS implemented in R, with an alternative cross-validation scheme - |
SCCA-BC | 2 | over 9 years ago | 2018 - - Pimentel - Biclustering by sparse canonical correlation analysis - |
mixKernel | 2018 - - Mariette - kernel method for unsupervised multi-omics integration - , | ||
WON-PARAFAC | 1 | over 3 years ago | 2019 - - Kim - weighted orthogonal nonnegative parallel factor analysis - |
BIDIFAC | 3 | 7 months ago | 2019 - - Park - bidimensional integrative factorization - , |
SmCCNet | 2019 - - Shi - sparse multiple canonical correlation network analysis - | ||
msPLS | 1 | over 3 years ago | 2020 - - Csala - multiset sparse partial least squares path modeling - |
paper | 2020 - - Fan - network-based multi-omic data integration for biomarker discovery - | ||
D-CCA | 11 | over 2 years ago | 2020 - - Shu - Decomposition-based Canonical Correlation Analysis - |
COMBI | 2020 - - Hawinkel - Compositional Omics Model-Based Integration - | ||
DPCCA | 25 | over 3 years ago | 2020 - - Gundersen - Deep Probabilistic CCA - |
MEFISTO | 2020 - - Velten - spatial or temporal relationships - | ||
MultiPower | 30 | over 1 year ago | 2020 - - Tarazona - Sample size in multi-omic experiments - |
mixedCCA | 2020 - - Yoon - Sparse semiparametric CCA for data of mixed types - | ||
smCIA/ssmCIA | 2020 - - Min - Sparse (structured sparse) multiple co-Inertia analysis - | ||
MuVI | 29 | 5 months ago | 2023 - - Qoku - Integrate noisy feature sets - |
awesome-multi-omics / Software packages and methods / Ecology multi-table literature | |||
paper | 1994 - - Doledec - Co‐inertia analysis - | ||
ade4 | 2007 - - Dray - Implementing the Duality Diagram for Ecologists - | ||
awesome-multi-omics / Software packages and methods / Chemometrics multi-table literature | |||
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 - | ||
THEME | 1 | about 1 year ago | 2015 - - Verron - THEmatic Model Exploration - |
awesome-multi-omics / Software packages and methods / Behavioral research multi-table literature | |||
paper 1 | 2013 - DISCO SCA - Schouteden - distinctive and common components with simultaneous-component analysis - , | ||
awesome-multi-omics / Software packages and methods / Multi-omics clustering / classification / prediction | |||
iCluster | 2009 - - Shen - | ||
PSDF | 2011 - - Yuan - Data fusion by Bayesian nonparametric Dirichlet modeling - , | ||
MDI | 2012 - - Kirk - , | ||
iClusterPlus | 2013 - - Mo - | ||
BCC | 19 | over 1 year ago | 2013 - - Lock - Bayesian consensus clustering - |
iBAG | 5 | about 5 years ago | 2013 - - Wang - Integrative Bayesian Analysis of Genomics - |
SNF | 2014 - - Wang - | ||
paper | 2015 - moCluster - Meng - Derivative of iClusterPlus - | ||
clusternomics | 2017 - - Gabasova - | ||
publication | 2017 - PFA - Shi - Pattern Fussion analysis - | ||
IBOOST | 2019 - - Wong - | ||
Spectrum | 2019 - - John - | ||
NEMO | 15 | over 4 years ago | 2019 - - Rappoport - Similarity-based Clustering - |
INF | 2020 - - Chierici and Bussola - | ||
ClustOmics | 5 | almost 3 years ago | 2021 - - Brière - Consensus clustering - |
MOGONET | 143 | over 3 years ago | 2021 - - Tongxin Wang - Multi-Omics Graph cOnvolutional NETworks - |
awesome-multi-omics / Software packages and methods / Multi-omics autoencoders | |||
maui | 48 | over 1 year ago | 2019 - - Ronen - Stacked VAE + clustering predictive of survival - |
IntegrativeVAEs | 27 | about 3 years ago | 2019 - - Simidjievski - Variational autoencoders + classification - |
OmiVAE | 31 | over 3 years ago | 2019 - - Xiaoyu Zhang - Integrated Multi-omics Analysis Using Variational Autoencoders - |
DeepProg | 76 | 11 months ago | 2021 - - Poirion - DL and ML ensemble + survival prediction - |
SHAE | 2021 - - Wissel - Supervised Hierarchical Autoencoder + survival prediction - | ||
awesome-multi-omics / Software packages and methods / Multi-omics networks | |||
MolTi-DREAM | 3 | about 6 years ago | 2018 - - Didier - identifying communities from multiplex networks, and annotated the obtained clusters |
NetICS | 15 | over 3 years ago | 2018 - Christos Dimitrakopoulos - Network-based integration of multi-omics data for prioritizing cancer genes - |
RWR-MH | 34 | over 4 years ago | 2019 - - Valdeolivas - Random walk with restart on multiplex and heterogeneous biological networks |
MOGAMUN | 2020 - - Novoa-del-toro - A multi-objective genetic algorithm to find active modules in multiplex biological networks | ||
RWRF | 7 | about 4 years ago | 2021 - - Wen - Random Walk with Restart for multi-dimensional data Fusion |
awesome-multi-omics / Software packages and methods / Single cell multi-omics | |||
cardelino | 59 | about 2 years ago | 2018 - - - gene expression states to clones (SNVs from scRNA-seq + bulk exome data) - |
clonealign | 32 | almost 4 years ago | 2018 - - Campbell - gene expression states to clones (scRNA-seq + scDNA-seq (CNV)) - |
CiteFuse | 2020 - - Kim - CITE-seq data analysis | ||
CoSpar | 2021 - - Wang - infer dynamics by integrating state and lineage information - | ||
awesome-multi-omics / Software packages and methods / Multi-study correlation or factor analysis | |||
MSFA | 2 | over 2 years ago | 2016 - - De Vito - multi-study factor analysis: same features, different samples - |
awesome-multi-omics / Software packages and methods / Multi-omics simulation | |||
InterSIM | 2016 - - Chalise - methylation, gene expression and protein expression - | ||
MOSim | 2019 - - Martinez-Mira - RNA-seq, ATAC-seq (DNase-seq), ChIP-seq, small RNA-seq and Methyl-seq. - | ||
OmicsSIMLA | 2019 - - Chung - DNA, CNV, WGBS, RNAseq, Protein expression - | ||
awesome-multi-omics / Multi-omics reviews / evaluations | |||
Multivariate data analysis: The French way | 2008 - Holmes - | ||
A practical data processing workflow for multi-OMICS projects | 2014 - Kohl - | ||
Measuring multivariate association and beyond | 2016 - Josse - | ||
Multi-omic data integration enables discovery of hidden biological regularities | 2016 - Ebrahim - | ||
Dimension reduction techniques for the integrative analysis of multi-omics data | 2016 - Meng - | ||
A review on machine learning principles for multi-view biological data integration | 2016 - Li - | ||
More Is Better: Recent Progress in Multi-Omics Data Integration Methods | 2017 - Huang - | ||
Multi-omics approaches to disease | 2017 - Hasin - | ||
Statistical data integration: Challenges and opportunities | 2017 - Allen - | ||
Multi-omic and multi-view clustering algorithms: review and cancer benchmark | 2018 - Rappoport - | ||
Current multiblock methods: Competition or complementarity? A comparative study in a unified framework | 2018 - Bougeard - | ||
Integrative omics for health and disease | 2018 - Karczewski - | ||
Network approaches to systems biology analysis of complex disease: integrative methods for multi-omics data | 2018 - Yan - | ||
Integrated omics: tools, advances and future approaches | 2019 - Misra - | ||
Evaluation of integrative clustering methods for the analysis of multi-omics data | 2019 - Chauvel - | ||
Consistency and overfitting of multi-omics methods on experimental data | 2019 - McCabe - - | ||
Clustering and variable selection evaluation of 13 unsupervised methods for multi-omics data integration | 2019 - Pierre-Jean - | ||
Systems Biology and Multi-Omics Integration: Viewpoints from the Metabolomics Research Community | 2019 - Pinu - | ||
A Selective Review of Multi-Level Omics Data Integration Using Variable Selection | 2019 - Wu - | ||
Multitable methods for microbiome data integration | 2019 - Sankaran - - | ||
Heterogeneous Multi-Layered Network Model for Omics Data Integration and Analysis | 2020 - Lee - | ||
Large-scale benchmark study of survival prediction methods using multi-omics data | 2020 - Herrmann - - | ||
Multiview learning for understanding functional multiomics | 2020 - Nguyen - | ||
Metabolomics and multi-omics integration: a survey of computational methods and resources | 2020 - Eicher - | ||
Benchmarking joint multi-omics dimensionality reduction approaches for cancer study | 2020 - Cantini - | ||
Multi-omics Data Integration, Interpretation, and Its Application | 2020 - Subramanian - | ||
State of the Field in Multi-Omics Research: From Computational Needs to Data Mining and Sharing | 2020 - Krassowski - - | ||
Data-Driven Modeling of Pregnancy-Related Complications | 2021 - Espinosa - | ||
Uncovering Cross-Cohort Molecular Features with Multi-Omics Integration Analysis | 2022 - Jiang - | ||
Machine learning for multi-omics data integration in cancer | 2022 - Cai - | ||
awesome-multi-omics / Multi-omics application papers | |||
A multivariate analysis approach to the integration of proteomic and gene expression data | 2007 - Fagan - | ||
The duality diagram in data analysis: Examples of modern applications | 2011 - De la Cruz - - | ||
Integrative omics analysis. A study based on Plasmodium falciparum mRNA and protein data | 2014 - Tomescu - | ||
A community effort to assess and improve drug sensitivity prediction algorithms | 2014 - Costello (NCI/DREAM) - | ||
Inferring gene–gene interactions and functional modules using sparse canonical correlation analysis | 2015 - Wang - | ||
TCGA2STAT: simple TCGA data access for integrated statistical analysis in R | 2016 - Wan - - | ||
Integrating single-cell transcriptomic data across different conditions, technologies, and species. | 2017 - Butler - | ||
Reference trait analysis reveals correlations between gene expression and quantitative traits in disjoint samples | 2018 - Skelly - - | ||
Comprehensive integration of single cell data | 2018 - Stuart - | ||
Joint analysis of gene expression levels and histological images identifies genes associated with tissue morphology | 2018 - Ash - | ||
Identifying subpathway signatures for individualized anticancer drug response by integrating multi-omics data | 2019 - Xu - | ||
Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy | 2019 - Ghaemi - Multi-omics in pregnancy using stacked generalization | ||
awesome-multi-omics / Multi-omics data management | |||
MultiAssayExperiment | 2017 - - Ramos - Software for the integration of multi-omics experiments in Bioconductor - | ||
muon | 218 | 22 days ago | 2021 - - Bredikhin - |
awesome-multi-omics / Batch effect correction | |||
MultiBaC | 5 | almost 3 years ago | 2020 - - Ugidos - and |
A multivariate method to correct for batch effects in microbiome data | |||
awesome-multi-omics / Meetings and workshops | |||
Mathematical Frameworks for Integrative Analysis of Emerging Biological Data Types | 2020 - - - June 14-19, 2020 in Banff, Canada |