Machine learning based personalized drug response prediction for lung cancer patients.
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| Title: | Machine learning based personalized drug response prediction for lung cancer patients. |
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| Authors: | Qureshi R; College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar., Basit SA; FAST National University of Computer and Emerging Sciences, Karachi, Pakistan., Shamsi JA; FAST National University of Computer and Emerging Sciences, Karachi, Pakistan., Fan X; Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong.; Center for Intelligent Multidimensional Data Analysis (CIMDA), City University of Hong Kong, Kowloon, Hong Kong., Nawaz M; Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR, China., Yan H; Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong.; Center for Intelligent Multidimensional Data Analysis (CIMDA), City University of Hong Kong, Kowloon, Hong Kong., Alam T; College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar. talam@hbku.edu.qa. |
| Source: | Scientific reports [Sci Rep] 2022 Nov 07; Vol. 12 (1), pp. 18935. Date of Electronic Publication: 2022 Nov 07. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 36344580 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Machine learning based personalized drug response prediction for lung cancer patients. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Qureshi+R%22">Qureshi R</searchLink>; College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.<br /><searchLink fieldCode="AU" term="%22Basit+SA%22">Basit SA</searchLink>; FAST National University of Computer and Emerging Sciences, Karachi, Pakistan.<br /><searchLink fieldCode="AU" term="%22Shamsi+JA%22">Shamsi JA</searchLink>; FAST National University of Computer and Emerging Sciences, Karachi, Pakistan.<br /><searchLink fieldCode="AU" term="%22Fan+X%22">Fan X</searchLink>; Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong.; Center for Intelligent Multidimensional Data Analysis (CIMDA), City University of Hong Kong, Kowloon, Hong Kong.<br /><searchLink fieldCode="AU" term="%22Nawaz+M%22">Nawaz M</searchLink>; Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR, China.<br /><searchLink fieldCode="AU" term="%22Yan+H%22">Yan H</searchLink>; Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong.; Center for Intelligent Multidimensional Data Analysis (CIMDA), City University of Hong Kong, Kowloon, Hong Kong.<br /><searchLink fieldCode="AU" term="%22Alam+T%22">Alam T</searchLink>; College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar. talam@hbku.edu.qa. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2022 Nov 07; Vol. 12 (1), pp. 18935. <i>Date of Electronic Publication: </i>2022 Nov 07. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36344580 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-022-23649-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 18935 Titles: – TitleFull: Machine learning based personalized drug response prediction for lung cancer patients. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Qureshi R – PersonEntity: Name: NameFull: Basit SA – PersonEntity: Name: NameFull: Shamsi JA – PersonEntity: Name: NameFull: Fan X – PersonEntity: Name: NameFull: Nawaz M – PersonEntity: Name: NameFull: Yan H – PersonEntity: Name: NameFull: Alam T IsPartOfRelationships: – BibEntity: Dates: – D: 07 M: 11 Text: 2022 Nov 07 Type: published Y: 2022 Identifiers: – Type: issn-electronic Value: 2045-2322 Numbering: – Type: volume Value: 12 – Type: issue Value: 1 Titles: – TitleFull: Scientific reports Type: main |
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