首页> Bio Systems> A Data-Distribution and Successive Spline Points based discretization approach for evolving gene regulatory networks from scRNA-Seq time-series data using Cartesian Genetic Programming.

A Data-Distribution and Successive Spline Points based discretization approach for evolving gene regulatory networks from scRNA-Seq time-series data using Cartesian Genetic Programming.

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第一作者： José Eduardo H,da Silva

第一单位： Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil. Electronic address: jehenriques@ice.ufjf.br.

作者： José Eduardo H,da Silva ^[1] ; Patrick C,de Carvalho ^[2] ; José J,Camata ^[3] ; Itamar L,de Oliveira ^[4] ; Heder S,Bernardino ^[5]

作者单位： Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil. Electronic address: jehenriques@ice.ufjf.br. ^[1] Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil. Electronic address: itamar.leite@ice.ufjf.br. ^[2] Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil. Electronic address: heder@ice.ufjf.br. ^[3] Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil. Electronic address: patrickcarvalho448@gmail.com. ^[4] Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil. Electronic address: camata@gmail.com. ^[5]

关键词 Cartesian Genetic Programming Data distribution Discretization Gene expression data Gene regulatory network

医学主题词基因调控网络(Gene Regulatory Networks);算法(Algorithms);系统生物学(Systems Biology);基因表达谱(Gene Expression Profiling);甲苯磺酰化合物(Tosyl Compounds)

DOI 10.1016/j.biosystems.2024.105126

PMID 38278505

发布时间 2024-02-16

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准确一般字义偏差语意偏离译文作用小提交