A powerful framework for an integrative study with heterogeneous omics data: from univariate statistics to multi-block analysis

DIABLO: an integrative approach for identifying key molecular drivers from multi-omic assays

(2019) Amrit Singh et al.   BIOINFORMATICS

Phenotypic Trait Variation as a Response to Altitude-Related Constraints in Arabidopsis Populations

(2019) Harold Duruflé et al.   Frontiers in Plant Science

Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets

(2018) Ricard Argelaguet et al.   Molecular Systems Biology

Ten simple rules for biologists learning to program

(2018) Maureen A. Carey et al.   PLoS Computational Biology

Integrated omics analysis of specialized metabolism in medicinal plants

(2017) Amit Rai et al.   PLANT JOURNAL

Cell wall modifications of two Arabidopsis thaliana ecotypes, Col and Sha, in response to sub-optimal growth conditions: An integrative study

(2017) Harold Duruflé et al.   PLANT SCIENCE

mixOmics: An R package for ‘omics feature selection and multiple data integration

(2017) Florian Rohart et al.   PLoS Computational Biology

Handling missing rows in multi-omics data integration: multiple imputation in multiple factor analysis framework

(2016) Valentin Voillet et al.   BMC BIOINFORMATICS

More effort — more results: recent advances in integrative ‘omics’ data analysis

(2016) Dhivyaa Rajasundaram et al.   CURRENT OPINION IN PLANT BIOLOGY

Plant developmental responses to climate change

(2016) Sharon B. Gray et al.   DEVELOPMENTAL BIOLOGY

Observations of climate change among subsistence-oriented communities around the world

(2016) V. Savo et al.   Nature Climate Change

Tidy Data

(2015) Hadley Wickham   Journal of Statistical Software

Variable selection for generalized canonical correlation analysis

(2014) A. Tenenhaus et al.   BIOSTATISTICS

Teaching the Fundamentals of Biological Data Integration Using Classroom Games

(2012) Maria Victoria Schneider et al.   PLoS Computational Biology

Visualising associations between paired ‘omics’ data sets

(2012) Ignacio González et al.   BioData Mining

Sparse PLS discriminant analysis: biologically relevant feature selection and graphical displays for multiclass problems

(2011) Kim-Anh Lê Cao et al.   BMC BIOINFORMATICS

Comparative study of the cell wall composition of broccoli, carrot, and tomato: Structural characterization of the extractable pectins and hemicelluloses

(2011) Ken Houben et al.   CARBOHYDRATE RESEARCH

integrOmics: an R package to unravel relationships between two omics datasets

(2009) Kim-Anh Lê Cao et al.   BIOINFORMATICS

Cell wall biogenesis of Arabidopsis thaliana elongating cells: transcriptomics complements proteomics

(2009) Elisabeth Jamet et al.   BMC GENOMICS

Correlation of mRNA and protein in complex biological samples

(2009) Tobias Maier et al.   FEBS LETTERS

Multiple factor analysis and clustering of a mixture of quantitative, categorical and frequency data

(2007) Mónica Bécue-Bertaut et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS