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Machine Learning Models Based on Histological Images from Healthy Donors Identify ImageQTLs and Predict Chronological Age.

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Title: Machine Learning Models Based on Histological Images from Healthy Donors Identify ImageQTLs and Predict Chronological Age.
Authors: Meng R; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA.; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA., Zhu W; Department of Computer Sciences, Yale University, New Haven, CT 06520, USA., Cameron CJ; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA.; Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT 06520, USA., Ni P; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA.; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA., Zhou X; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA.; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA., Ulammandakh T; Department of Computer Sciences, Yale University, New Haven, CT 06520, USA., Gerstein MB; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA.; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA.; Department of Computer Sciences, Yale University, New Haven, CT 06520, USA.; Department of Statistics & Data Science, Yale University, New Haven, CT 06520, USA.; Department of Biomedical Informatics & Data Science, Yale University, New Haven, CT 06520, USA.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2025 Sep 09. Date of Electronic Publication: 2025 Sep 09.
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
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  Data: <searchLink fieldCode="AU" term="%22Meng+R%22">Meng R</searchLink>; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA.; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA.<br /><searchLink fieldCode="AU" term="%22Zhu+W%22">Zhu W</searchLink>; Department of Computer Sciences, Yale University, New Haven, CT 06520, USA.<br /><searchLink fieldCode="AU" term="%22Cameron+CJ%22">Cameron CJ</searchLink>; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA.; Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT 06520, USA.<br /><searchLink fieldCode="AU" term="%22Ni+P%22">Ni P</searchLink>; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA.; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA.<br /><searchLink fieldCode="AU" term="%22Zhou+X%22">Zhou X</searchLink>; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA.; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA.<br /><searchLink fieldCode="AU" term="%22Ulammandakh+T%22">Ulammandakh T</searchLink>; Department of Computer Sciences, Yale University, New Haven, CT 06520, USA.<br /><searchLink fieldCode="AU" term="%22Gerstein+MB%22">Gerstein MB</searchLink>; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA.; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA.; Department of Computer Sciences, Yale University, New Haven, CT 06520, USA.; Department of Statistics & Data Science, Yale University, New Haven, CT 06520, USA.; Department of Biomedical Informatics & Data Science, Yale University, New Haven, CT 06520, USA.
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        Value: 10.1101/2025.09.04.674328
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              Text: 2025 Sep 09
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