( en | de | ru )

 

Disambiguation of "Besse, Philippe"

Author of the publication

copydeleteadd this publication to your clipboard
Handling missing rows in multi-omics data integration: multiple imputation in multiple factor analysis framework.

, , , , and . BMC Bioinform., (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Konrad Besse

Arno Besse

Dörthe Besse

Maria Besse

Karl Besse

 

Other publications of authors with the same name

A Sparse PLS for Variable Selection when Integrating Omics Data, , , and . Statistical Applications in Genetics and Molecular Biology, 7 (1): Article 35 (2008)Clustering Time-Series Gene Expression Data Using Smoothing Spline Derivatives., , , and . EURASIP J. Bioinform. Syst. Biol., (2007)Statistique et Big Data Analytics; Volumétrie, L'Attaque des Clones.. CoRR, (2014)PCA stability and choice of dimensionality. Statistics & Probability Letters, 13 (5): 405--410 (Apr 7, 1992)Sparse PLS Discriminant Analysis: biologically relevant feature selection and graphical displays for multiclass problems., , and . BMC Bioinform., (2011)On Combining Wavelets Expansion and Sparse Linear Models for Regression on Metabolomic Data and Biomarker Selection., , , , , and . Commun. Stat. Simul. Comput., 45 (1): 282-298 (2016)Sparse canonical methods for biological data integration: application to a cross-platform study, , , and . BMC Bioinformatics, 10 (1): 34 (2009)Handling missing rows in multi-omics data integration: multiple imputation in multiple factor analysis framework., , , , and . BMC Bioinform., (2016)Sparse canonical methods for biological data integration: application to a cross-platform study., , , and . BMC Bioinform., (2009)A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set., , , , and . CoRR, (2020)