Multiple Linear Regression for Reconstruction of Gene Regulatory Networks in Solving Cascade Error Problems

Gene regulatory network (GRN) reconstruction is the process of identifying regulatory gene interactions from experimental data through computational analysis. One of the main reasons for the reduced performance of previous GRN methods had been inaccurate prediction of cascade motifs. Cascade error i...

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Veröffentlicht in:	Advances in Bioinformatics 2017, Vol.2017, p.1-14-003
Hauptverfasser:	Salleh, Faridah Hani Mohamed, Zainudin, Suhaila, Arif, Shereena M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analysis Cascade reactions Gene expression Genetic regulation Information technology Kalman filters Methods Multilevel analysis Ordinary differential equations Performance evaluation Problem solving
Online-Zugang:	Volltext
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