FertilitY Predictor-a machine learning-based web tool for the prediction of assisted reproduction outcomes in men with Y chromosome microdeletions.

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Title: FertilitY Predictor-a machine learning-based web tool for the prediction of assisted reproduction outcomes in men with Y chromosome microdeletions.
Authors: Colaco S; Molecular and Cellular Biology Laboratory, ICMR-National Institute for Research in Reproductive and Child Health, JM Street, Parel, Mumbai, Maharashtra, 400012, India., Narad P; Division of Development Research, Indian Council of Medical Research, Ansari Nagar, New Delhi, India., Singh AK; Systems Biology and Data Analytics Research Laboratory Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India., Gupta P; Systems Biology and Data Analytics Research Laboratory Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India., Choudhury A; Systems Biology and Data Analytics Research Laboratory Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India., Sengupta A; Systems Biology and Data Analytics Research Laboratory Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India., Modi D; Molecular and Cellular Biology Laboratory, ICMR-National Institute for Research in Reproductive and Child Health, JM Street, Parel, Mumbai, Maharashtra, 400012, India. deepaknmodi@yahoo.com.
Source: Journal of assisted reproduction and genetics [J Assist Reprod Genet] 2025 Feb; Vol. 42 (2), pp. 473-481. Date of Electronic Publication: 2024 Dec 09.
Publication Type: Journal Article; Systematic Review
Journal Info: Publisher: Springer Country of Publication: Netherlands NLM ID: 9206495 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-7330 (Electronic) Linking ISSN: 10580468 NLM ISO Abbreviation: J Assist Reprod Genet Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1573-7330
DOI:10.1007/s10815-024-03338-9