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Saniya Khullar

Researcher at University of Wisconsin-Madison

Publications -  15
Citations -  97

Saniya Khullar is an academic researcher from University of Wisconsin-Madison. The author has contributed to research in topics: Biology & Medicine. The author has an hindex of 3, co-authored 6 publications receiving 25 citations.

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Journal ArticleDOI

The landscape of antibody binding in SARS-CoV-2 infection.

TL;DR: In this article, the authors used ultradense peptide microarray mapping to show that SARS-CoV-2 infection induces robust antibody responses to epitopes throughout the SARS CoV2 proteome, particularly in M, in which 1 epitope achieved excellent diagnostic accuracy.
Posted ContentDOI

The landscape of antibody binding to SARS-CoV-2

TL;DR: It is shown that Sars-CoV-2 infection induces robust antibody responses to epitopes throughout the SARS-Cov-2 proteome, particularly in M, in which one epitope achieved near-perfect diagnostic accuracy.
Posted ContentDOI

The landscape of antibody binding in SARS-CoV-2 infection.

TL;DR: In this article, the authors used ultradense peptide microarray mapping to show that SARS-CoV-2 infection induces robust antibody responses to epitopes throughout the SARS CoV2 proteome, particularly in M, in which one epitope achieved excellent diagnostic accuracy.
Journal ArticleDOI

Bringing machine learning to research on intellectual and developmental disabilities: taking inspiration from neurological diseases

TL;DR: In this article , a review of the application of ML technologies to Intellectual and Developmental Disabilities (IDDs) can be found, which can potentially improve screening and early diagnosis, advance our understanding of the complexity of comorbidity, and accelerate the identification of biomarkers for clinical research and drug development.
Journal ArticleDOI

Bringing machine learning to research on intellectual and developmental disabilities: taking inspiration from neurological diseases

TL;DR: In this article , a review of the application of ML technologies to Intellectual and Developmental Disabilities (IDDs) can be found, which can potentially improve screening and early diagnosis, advance our understanding of the complexity of comorbidity, and accelerate the identification of biomarkers for clinical research and drug development.