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

Harold Duruflé; Merwann Selmani; Philippe Ranocha; Elisabeth Jamet; Christophe Dunand; Sébastien Dejean

Preprints, Working Papers, ... Year : 2018

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

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Harold Duruflé

Function : Author
PersonId : 737697
IdHAL : harold-durufle
ORCID : 0000-0002-6020-2822
IdRef : 233622861

Laboratoire de Recherche en Sciences Végétales

CV

Merwann Selmani

Function : Author

Philippe Ranocha

Function : Author

Laboratoire de Recherche en Sciences Végétales

Elisabeth Jamet

Function : Author
PersonId : 1085941
ORCID : 0000-0002-3187-7994

Christophe Dunand

Function : Author
PersonId : 784271
ORCID : 0000-0003-1637-4042
IdRef : 18038337X

Dynamique et Evolution des Parois cellulaires végétales

Sébastien Dejean

Function : Author
PersonId : 17534
IdHAL : sebastien-dejean
ORCID : 0000-0001-9610-5306
IdRef : 06889564X

Institut de Mathématiques de Toulouse UMR5219

Domains

Statistics [math.ST] Vegetal Biology

Sébastien Dejean : Connect in order to contact the contributor

https://hal.science/hal-02921927

Submitted on : Friday, June 29, 2018-8:56:12 AM

Last modification on : Wednesday, April 3, 2024-10:49:55 AM

Dates and versions

hal-02921927 , version 2 (29-06-2018)

hal-02921927 , version 1 (08-02-2022)

hal-02921927 , version 3 (03-04-2024)

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HAL Id : hal-02921927 , version 2

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Harold Duruflé, Merwann Selmani, Philippe Ranocha, Elisabeth Jamet, Christophe Dunand, et al.. A powerful framework for an integrative study with heterogeneous omics data: from univariate statistics to multi-block analysis. 2018. ⟨hal-02921927v2⟩

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

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