Meta-Analysis of Gene Popularity: Less Than Half of Gene Citations Stem from Gene Regulatory Networks.

Mihai, Ionut Sebastian; Das, Debojyoti; Marsalkaite, Gabija; Henriksson, Johan

Mihai, Ionut Sebastian; Das, Debojyoti; Marsalkaite, Gabija; Henriksson, Johan.

Affiliation

Mihai IS; Molecular Infection Medicine Sweden (MIMS), Umeå Centre for Microbial Research, Department of Molecular Biology, Umeå University, 901 87 Umeå, Sweden.
Das D; Industrial Doctoral School, Umeå University, 901 87 Umeå, Sweden.
Marsalkaite G; National Clinical Research School in Chronic Inflammatory Diseases (NCRSCID), Karolinska Institutet, 171 77 Solna, Sweden.
Henriksson J; Molecular Infection Medicine Sweden (MIMS), Umeå Centre for Microbial Research, Department of Molecular Biology, Umeå University, 901 87 Umeå, Sweden.

Genes (Basel) ; 12(2)2021 02 23.

Article in En | MEDLINE | ID: mdl-33672419

Subject(s)

Computational Biology; Gene Regulatory Networks/genetics; Algorithms; Humans; Multigene Family/genetics

Key words

Matthew effect; biological feature; gene; gene regulatory networks; genomics; linear model; machine learning

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computational Biology / Gene Regulatory Networks Type of study: Prognostic_studies / Systematic_reviews Limits: Humans Language: En Journal: Genes (Basel) Year: 2021 Document type: Article Affiliation country: Sweden

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