scEvoNet: a gradient boosting-based method for prediction of cell state evolution.

Kotov, Aleksandr; Zinovyev, Andrei; Monsoro-Burq, Anne-Helene

Kotov, Aleksandr; Zinovyev, Andrei; Monsoro-Burq, Anne-Helene.

Affiliation

Kotov A; Faculté Des Sciences d'Orsay, Université Paris Saclay, Orsay, France.
Zinovyev A; Institut Curie, PSL Research University, Paris, France.
Monsoro-Burq AH; Institut Curie, PSL Research University, Paris, France.

BMC Bioinformatics ; 24(1): 83, 2023 Mar 06.

Article in En | MEDLINE | ID: mdl-36879200

Subject(s)

Single-Cell Gene Expression Analysis; Software; Transcriptome; Computational Biology

Key words

Cancer; Cell states; Cell types; Differentiation; Evolution; Gene programs; Gradient boosting; scRNA-seq

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Transcriptome / Single-Cell Gene Expression Analysis Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2023 Type: Article Affiliation country: France

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