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Statistical and Bioinformatics Model to Identify the Influential Genes and Comorbidities of Glioblastoma

Title: Statistical and Bioinformatics Model to Identify the Influential Genes and Comorbidities of Glioblastoma
Authors: Podder, Nitun KumarAff19, Aff20; Shill, Pintu ChandraAff20
Contributors: Akan, Ozgur, Editorial Board MemberAff1; Bellavista, Paolo, Editorial Board MemberAff2; Cao, Jiannong, Editorial Board MemberAff3; Coulson, Geoffrey, Editorial Board MemberAff4; Dressler, Falko, Editorial Board MemberAff5; Ferrari, Domenico, Editorial Board MemberAff6; Gerla, Mario, Editorial Board MemberAff7; Kobayashi, Hisashi, Editorial Board MemberAff8; Palazzo, Sergio, Editorial Board MemberAff9; Sahni, Sartaj, Editorial Board MemberAff10; Shen, Xuemin, Editorial Board MemberAff11; Stan, Mircea, Editorial Board MemberAff12; Jia, Xiaohua, Editorial Board MemberAff13; Zomaya, Albert Y., Editorial Board MemberAff14; Satu, Md. Shahriare, editorAff15; Moni, Mohammad Ali, editorAff16; Kaiser, M. Shamim, editorAff17; Arefin, Mohammad Shamsul, editorAff18
Source: Machine Intelligence and Emerging Technologies : First International Conference, MIET 2022, Noakhali, Bangladesh, September 23-25, 2022, Proceedings, Part II. 491:763-774
Database: Springer Nature eBooks