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Effective utilisation of influence maximization technique for the identification of significant nodes in breast cancer gene networks.

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Title: Effective utilisation of influence maximization technique for the identification of significant nodes in breast cancer gene networks.
Authors: Chakrapani HB; School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India., Chourasia S; School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India., Gupta S; School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India., Kumar D T; Meenakshi Academy of Higher Education and Research, Chennai, India., Doss C GP; School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, India., Haldar R; School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. Electronic address: rishinhaldar@vit.ac.in.
Source: Computers in biology and medicine [Comput Biol Med] 2021 Jun; Vol. 133, pp. 104378. Date of Electronic Publication: 2021 Apr 18.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Effective utilisation of influence maximization technique for the identification of significant nodes in breast cancer gene networks.
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  Data: <searchLink fieldCode="AU" term="%22Chakrapani+HB%22">Chakrapani HB</searchLink>; School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India.<br /><searchLink fieldCode="AU" term="%22Chourasia+S%22">Chourasia S</searchLink>; School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India.<br /><searchLink fieldCode="AU" term="%22Gupta+S%22">Gupta S</searchLink>; School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India.<br /><searchLink fieldCode="AU" term="%22Kumar+D+T%22">Kumar D T</searchLink>; Meenakshi Academy of Higher Education and Research, Chennai, India.<br /><searchLink fieldCode="AU" term="%22Doss+C+GP%22">Doss C GP</searchLink>; School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, India.<br /><searchLink fieldCode="AU" term="%22Haldar+R%22">Haldar R</searchLink>; School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. Electronic address: rishinhaldar@vit.ac.in.
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  Data: <searchLink fieldCode="JN" term="%221250250%22">Computers in biology and medicine</searchLink> [Comput Biol Med] 2021 Jun; Vol. 133, pp. 104378. <i>Date of Electronic Publication: </i>2021 Apr 18.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>1250250 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-0534 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200104825%22">00104825 </searchLink><i>NLM ISO Abbreviation: </i>Comput Biol Med <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.compbiomed.2021.104378
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      – Code: eng
        Text: English
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      – TitleFull: Effective utilisation of influence maximization technique for the identification of significant nodes in breast cancer gene networks.
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              Text: 2021 Jun
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