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DReSS: a method to quantitatively describe the influence of structural perturbations on state spaces of genetic regulatory networks.
Yin, Ziqiao; Guo, Binghui; Ma, Shuangge; Sun, Yifan; Mi, Zhilong; Zheng, Zhiming.
Affiliation
  • Yin Z; Shenyuan Honors College and School of Mathematical Sciences, Beihang University, and Key Laboratory of Mathematics, Informatics and Behavioral Semantics, Ministry of Education. He currently works as a visiting scholar at Yale University.
  • Guo B; Artificial Intelligence Institute, Beijing Advanced Innovation Center for Big Data and Brain Computing, LMIB, NLSDE, School of Mathematical Sciences, Beihang University, and Peng Cheng Laboratory.
  • Ma S; Department of Biostatistics, Yale University.
  • Sun Y; School of Statistics, Renmin University of China.
  • Mi Z; Key Laboratory of Mathematics, Informatics and Behavioral Semantics, Ministry of Education, and School of Mathematical Sciences from Beihang University.
  • Zheng Z; Artificial Intelligence Institute, Beijing Advanced Innovation Center for Big Data and Brain Computing, LMIB, NLSDE, School of Mathematical Sciences, Beihang University, and Peng Cheng Laboratory.
Brief Bioinform ; 22(4)2021 07 20.
Article in En | MEDLINE | ID: mdl-33313791
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Gene Regulatory Networks / Genotype / Models, Genetic Language: En Journal: Brief Bioinform Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2021 Type: Article
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Gene Regulatory Networks / Genotype / Models, Genetic Language: En Journal: Brief Bioinform Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2021 Type: Article