WilsonGenAI a deep learning approach to classify pathogenic variants in Wilson Disease.
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| Title: | WilsonGenAI a deep learning approach to classify pathogenic variants in Wilson Disease. |
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| Authors: | Vatsyayan A; CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India.; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India., Kumar M; CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India.; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India., Saikia BJ; CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India.; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India., Scaria V; CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India.; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India., B K B; CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India.; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India. |
| Source: | PloS one [PLoS One] 2024 May 17; Vol. 19 (5), pp. e0303787. Date of Electronic Publication: 2024 May 17 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0303787 |
