Resolving phenotyping discordance with SPACEMAP, an integrated machine learning framework.
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| Title: | Resolving phenotyping discordance with SPACEMAP, an integrated machine learning framework. |
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| Authors: | Dawod B; Department of Radiation Oncology, the University of Southwestern Medical Center, Dallas, TX, USA., Rodriguez AP; Department of Radiation Oncology, the University of Southwestern Medical Center, Dallas, TX, USA., Diegeler S; Department of Radiation Oncology, the University of Southwestern Medical Center, Dallas, TX, USA.; Current address: Department of Pathology, University of Cambridge, Cambridge, UK., Elghonaimy E; Department of Radiation Oncology, the University of Southwestern Medical Center, Dallas, TX, USA., Wachsman M; Department of Pathology, the University of Texas Southwestern Medical Center, Dallas, TX, USA.; Pathology and Laboratory Medicine Services, Veterans Affairs North Texas Health Care System, Dallas, TX, USA., Gopal P; Department of Pathology, the University of Texas Southwestern Medical Center, Dallas, TX, USA.; Pathology and Laboratory Medicine Services, Veterans Affairs North Texas Health Care System, Dallas, TX, USA., Hein D; Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA., Acosta PH; Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA., Jamieson A; Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA., Danuser G; Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA., Timmerman RD; Department of Radiation Oncology, the University of Southwestern Medical Center, Dallas, TX, USA., Rajaram S; Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA., Aguilera TA; Department of Radiation Oncology, the University of Southwestern Medical Center, Dallas, TX, USA. |
| Source: | BioRxiv : the preprint server for biology [bioRxiv] 2025 Dec 01. Date of Electronic Publication: 2025 Dec 01. |
| Publication Type: | Journal Article; Preprint |
| Journal Info: | Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41409150 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Resolving phenotyping discordance with SPACEMAP, an integrated machine learning framework. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Dawod+B%22">Dawod B</searchLink>; Department of Radiation Oncology, the University of Southwestern Medical Center, Dallas, TX, USA.<br /><searchLink fieldCode="AU" term="%22Rodriguez+AP%22">Rodriguez AP</searchLink>; Department of Radiation Oncology, the University of Southwestern Medical Center, Dallas, TX, USA.<br /><searchLink fieldCode="AU" term="%22Diegeler+S%22">Diegeler S</searchLink>; Department of Radiation Oncology, the University of Southwestern Medical Center, Dallas, TX, USA.; Current address: Department of Pathology, University of Cambridge, Cambridge, UK.<br /><searchLink fieldCode="AU" term="%22Elghonaimy+E%22">Elghonaimy E</searchLink>; Department of Radiation Oncology, the University of Southwestern Medical Center, Dallas, TX, USA.<br /><searchLink fieldCode="AU" term="%22Wachsman+M%22">Wachsman M</searchLink>; Department of Pathology, the University of Texas Southwestern Medical Center, Dallas, TX, USA.; Pathology and Laboratory Medicine Services, Veterans Affairs North Texas Health Care System, Dallas, TX, USA.<br /><searchLink fieldCode="AU" term="%22Gopal+P%22">Gopal P</searchLink>; Department of Pathology, the University of Texas Southwestern Medical Center, Dallas, TX, USA.; Pathology and Laboratory Medicine Services, Veterans Affairs North Texas Health Care System, Dallas, TX, USA.<br /><searchLink fieldCode="AU" term="%22Hein+D%22">Hein D</searchLink>; Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA.<br /><searchLink fieldCode="AU" term="%22Acosta+PH%22">Acosta PH</searchLink>; Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA.<br /><searchLink fieldCode="AU" term="%22Jamieson+A%22">Jamieson A</searchLink>; Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA.<br /><searchLink fieldCode="AU" term="%22Danuser+G%22">Danuser G</searchLink>; Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA.<br /><searchLink fieldCode="AU" term="%22Timmerman+RD%22">Timmerman RD</searchLink>; Department of Radiation Oncology, the University of Southwestern Medical Center, Dallas, TX, USA.<br /><searchLink fieldCode="AU" term="%22Rajaram+S%22">Rajaram S</searchLink>; Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA.<br /><searchLink fieldCode="AU" term="%22Aguilera+TA%22">Aguilera TA</searchLink>; Department of Radiation Oncology, the University of Southwestern Medical Center, Dallas, TX, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101680187%22">BioRxiv : the preprint server for biology</searchLink> [bioRxiv] 2025 Dec 01. <i>Date of Electronic Publication: </i>2025 Dec 01. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Preprint – Name: TitleSource Label: Journal Info Group: Src Data: <i>Country of Publication: </i>United States <i>NLM ID: </i>101680187 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2692-8205 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226928205%22">26928205 </searchLink><i>NLM ISO Abbreviation: </i>bioRxiv <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41409150 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1101/2025.11.27.690631 Languages: – Code: eng Text: English Titles: – TitleFull: Resolving phenotyping discordance with SPACEMAP, an integrated machine learning framework. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Dawod B – PersonEntity: Name: NameFull: Rodriguez AP – PersonEntity: Name: NameFull: Diegeler S – PersonEntity: Name: NameFull: Elghonaimy E – PersonEntity: Name: NameFull: Wachsman M – PersonEntity: Name: NameFull: Gopal P – PersonEntity: Name: NameFull: Hein D – PersonEntity: Name: NameFull: Acosta PH – PersonEntity: Name: NameFull: Jamieson A – PersonEntity: Name: NameFull: Danuser G – PersonEntity: Name: NameFull: Timmerman RD – PersonEntity: Name: NameFull: Rajaram S – PersonEntity: Name: NameFull: Aguilera TA IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: 2025 Dec 01 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2692-8205 Titles: – TitleFull: BioRxiv : the preprint server for biology Type: main |
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