WilsonGenAI a deep learning approach to classify pathogenic variants in Wilson Disease

Aastha Vatsyayan; Mukesh Kumar; Bhaskar Jyoti Saikia; Vinod Scaria; Binukumar B. K.

doi:10.1371/journal.pone.0303787

Loading metrics

Open Access

Peer-reviewed

Research Article

WilsonGenAI a deep learning approach to classify pathogenic variants in Wilson Disease

Aastha Vatsyayan ,

Roles Data curation, Formal analysis, Software

¶‡ AV and MK contributed equally and would like to be known as joint first authors.

Affiliations CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India

https://orcid.org/0000-0002-4093-011X

⨯
Mukesh Kumar ,

Roles Data curation, Formal analysis, Validation, Writing – review & editing

¶‡ AV and MK contributed equally and would like to be known as joint first authors.

Affiliations CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
⨯
Bhaskar Jyoti Saikia,

Roles Data curation, Validation

Affiliations CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India

https://orcid.org/0000-0002-5335-7164

⨯
Vinod Scaria ,

Roles Conceptualization, Funding acquisition, Investigation, Project administration, Supervision, Writing – review & editing

* E-mail: vinods@igib.in (VS); binukumar@igib.in (BBK)

Current address: Vishwanath Cancer Care Foundation, Mumbai, India

Affiliations CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
⨯
Binukumar B. K.

Roles Conceptualization, Funding acquisition, Investigation, Project administration, Writing – review & editing

* E-mail: vinods@igib.in (VS); binukumar@igib.in (BBK)

Affiliations CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India

https://orcid.org/0000-0003-0933-4691

⨯

WilsonGenAI a deep learning approach to classify pathogenic variants in Wilson Disease

Aastha Vatsyayan,
Mukesh Kumar,
Bhaskar Jyoti Saikia,
Vinod Scaria,
Binukumar B. K.

Published: May 17, 2024
https://doi.org/10.1371/journal.pone.0303787

Reader Comments (0)

Post a new comment on this article

Subject Areas
?

For more information about PLOS Subject Areas, click here.
We want your feedback. Do these Subject Areas make sense for this article? Click the target next to the incorrect Subject Area and let us know. Thanks for your help!

Wilson's disease
Is the Subject Area "Wilson's disease" applicable to this article?

Thanks for your feedback.
Pathogenesis
Is the Subject Area "Pathogenesis" applicable to this article?

Thanks for your feedback.
Machine learning algorithms
Is the Subject Area "Machine learning algorithms" applicable to this article?

Thanks for your feedback.
Genetics of disease
Is the Subject Area "Genetics of disease" applicable to this article?

Thanks for your feedback.
Decision trees
Is the Subject Area "Decision trees" applicable to this article?

Thanks for your feedback.
Deep learning
Is the Subject Area "Deep learning" applicable to this article?

Thanks for your feedback.
Machine learning
Is the Subject Area "Machine learning" applicable to this article?

Thanks for your feedback.
Pathogens
Is the Subject Area "Pathogens" applicable to this article?

Thanks for your feedback.