A2Sign: Agnostic Algorithms for Signatures-a universal method for identifying molecular signatures from transcriptomic datasets prior to cell-type deconvolution.

Boldina, Galina; Fogel, Paul; Rocher, Corinne; Bettembourg, Charles; Luta, George; Augé, Franck

Boldina, Galina; Fogel, Paul; Rocher, Corinne; Bettembourg, Charles; Luta, George; Augé, Franck.

Affiliation

Boldina G; Sanofi, R&D Translational Sciences France, Bioinformatics, Sanofi, F-91385 Chilly-Mazarin Cedex, France.
Fogel P; Consultant, F-75006 Paris, France.
Rocher C; Advestis, F-75008 Paris, France.
Bettembourg C; Quinten, F-75017 Paris, France.
Luta G; Sanofi, R&D Translational Sciences France, Bioinformatics, Sanofi, F-91385 Chilly-Mazarin Cedex, France.
Augé F; Sanofi, R&D Translational Sciences France, Bioinformatics, Sanofi, F-91385 Chilly-Mazarin Cedex, France.

Bioinformatics ; 38(4): 1015-1021, 2022 01 27.

Article in En | MEDLINE | ID: mdl-34788798

Subject(s)

Algorithms; Transcriptome; Gene Expression Profiling; RNA-Seq; Exome Sequencing

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Transcriptome Type of study: Prognostic_studies Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: France Country of publication: United kingdom

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