In silico-driven analysis of the Glossina morsitans morsitans antennae transcriptome in response to repellent or attractant compounds

Background High-throughput sequencing generates large volumes of biological data that must be interpreted to make meaningful inference on the biological function. Problems arise due to the large number of characteristics p (dimensions) that describe each record [n] in the database. Feature selection...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Consolata Gakii, Billiah Kemunto Bwana, Grace Gathoni Mugambi, Esther Mukoya, Paul O. Mireji, Richard Rimiru
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	PeerJ Inc. 2021-07-01
Schriftenreihe:	PeerJ
Schlagworte:	Association rule mining Co-expression network RNASeq data Discretization In silico analysis
Online-Zugang:	https://peerj.com/articles/11691.pdf
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