Genetic algorithm based cancerous gene identification from microarray data using ensemble of filter methods.
| Published in: | Medical & Biological Engineering & Computing Vol. 57; no. 1; pp. 159 - 177 |
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| Main Authors: | , , , , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Jan2019
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=133800689&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 133800689 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Jan2019 vid: 57 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 133800689 10.1007/s11517-018-1874-4 133800689 ppf: 159 ppct: 18 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Genetic algorithm based cancerous gene identification from microarray data using ensemble of filter methods. aug: au: Ghosh, Manosij Adhikary, Sukdev Ghosh, Kushal Kanti Sardar, Aritra Begum, Shemim Sarkar, Ram affil: Department of Computer Science and Engineering, Jadavpur University, Kolkata, India sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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