Machine learning interpretable models of cell mechanics from protein images.
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| Title: | Machine learning interpretable models of cell mechanics from protein images. |
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| Authors: | Schmitt MS; James Franck Institute, University of Chicago, Chicago, IL 60637, USA; Department of Physics, University of Chicago, Chicago, IL 60637, USA; Kadanoff Center for Theoretical Physics, University of Chicago, Chicago, IL 60637, USA., Colen J; James Franck Institute, University of Chicago, Chicago, IL 60637, USA; Department of Physics, University of Chicago, Chicago, IL 60637, USA; Kadanoff Center for Theoretical Physics, University of Chicago, Chicago, IL 60637, USA., Sala S; Department of Cell & Molecular Physiology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL 60153, USA., Devany J; James Franck Institute, University of Chicago, Chicago, IL 60637, USA; Department of Physics, University of Chicago, Chicago, IL 60637, USA., Seetharaman S; James Franck Institute, University of Chicago, Chicago, IL 60637, USA; Department of Physics, University of Chicago, Chicago, IL 60637, USA., Caillier A; Department of Cell & Molecular Physiology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL 60153, USA., Gardel ML; James Franck Institute, University of Chicago, Chicago, IL 60637, USA; Department of Physics, University of Chicago, Chicago, IL 60637, USA. Electronic address: gardel@uchicago.edu., Oakes PW; Department of Cell & Molecular Physiology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL 60153, USA. Electronic address: poakes@luc.edu., Vitelli V; James Franck Institute, University of Chicago, Chicago, IL 60637, USA; Department of Physics, University of Chicago, Chicago, IL 60637, USA; Kadanoff Center for Theoretical Physics, University of Chicago, Chicago, IL 60637, USA. Electronic address: vitelli@uchicago.edu. |
| Source: | Cell [Cell] 2024 Jan 18; Vol. 187 (2), pp. 481-494.e24. Date of Electronic Publication: 2024 Jan 08. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: | Publisher: Cell Press Country of Publication: United States NLM ID: 0413066 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-4172 (Electronic) Linking ISSN: 00928674 NLM ISO Abbreviation: Cell Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38194965 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Machine learning interpretable models of cell mechanics from protein images. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Schmitt+MS%22">Schmitt MS</searchLink>; James Franck Institute, University of Chicago, Chicago, IL 60637, USA; Department of Physics, University of Chicago, Chicago, IL 60637, USA; Kadanoff Center for Theoretical Physics, University of Chicago, Chicago, IL 60637, USA.<br /><searchLink fieldCode="AU" term="%22Colen+J%22">Colen J</searchLink>; James Franck Institute, University of Chicago, Chicago, IL 60637, USA; Department of Physics, University of Chicago, Chicago, IL 60637, USA; Kadanoff Center for Theoretical Physics, University of Chicago, Chicago, IL 60637, USA.<br /><searchLink fieldCode="AU" term="%22Sala+S%22">Sala S</searchLink>; Department of Cell & Molecular Physiology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL 60153, USA.<br /><searchLink fieldCode="AU" term="%22Devany+J%22">Devany J</searchLink>; James Franck Institute, University of Chicago, Chicago, IL 60637, USA; Department of Physics, University of Chicago, Chicago, IL 60637, USA.<br /><searchLink fieldCode="AU" term="%22Seetharaman+S%22">Seetharaman S</searchLink>; James Franck Institute, University of Chicago, Chicago, IL 60637, USA; Department of Physics, University of Chicago, Chicago, IL 60637, USA.<br /><searchLink fieldCode="AU" term="%22Caillier+A%22">Caillier A</searchLink>; Department of Cell & Molecular Physiology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL 60153, USA.<br /><searchLink fieldCode="AU" term="%22Gardel+ML%22">Gardel ML</searchLink>; James Franck Institute, University of Chicago, Chicago, IL 60637, USA; Department of Physics, University of Chicago, Chicago, IL 60637, USA. Electronic address: gardel@uchicago.edu.<br /><searchLink fieldCode="AU" term="%22Oakes+PW%22">Oakes PW</searchLink>; Department of Cell & Molecular Physiology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL 60153, USA. Electronic address: poakes@luc.edu.<br /><searchLink fieldCode="AU" term="%22Vitelli+V%22">Vitelli V</searchLink>; James Franck Institute, University of Chicago, Chicago, IL 60637, USA; Department of Physics, University of Chicago, Chicago, IL 60637, USA; Kadanoff Center for Theoretical Physics, University of Chicago, Chicago, IL 60637, USA. Electronic address: vitelli@uchicago.edu. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220413066%22">Cell</searchLink> [Cell] 2024 Jan 18; Vol. 187 (2), pp. 481-494.e24. <i>Date of Electronic Publication: </i>2024 Jan 08. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Cell+Press%22">Cell Press </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0413066 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1097-4172 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200928674%22">00928674 </searchLink><i>NLM ISO Abbreviation: </i>Cell <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38194965 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.cell.2023.11.041 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 481 Titles: – TitleFull: Machine learning interpretable models of cell mechanics from protein images. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Schmitt MS – PersonEntity: Name: NameFull: Colen J – PersonEntity: Name: NameFull: Sala S – PersonEntity: Name: NameFull: Devany J – PersonEntity: Name: NameFull: Seetharaman S – PersonEntity: Name: NameFull: Caillier A – PersonEntity: Name: NameFull: Gardel ML – PersonEntity: Name: NameFull: Oakes PW – PersonEntity: Name: NameFull: Vitelli V IsPartOfRelationships: – BibEntity: Dates: – D: 18 M: 01 Text: 2024 Jan 18 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1097-4172 Numbering: – Type: volume Value: 187 – Type: issue Value: 2 Titles: – TitleFull: Cell Type: main |
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