‪Sameer Sardaar‬ - ‪Google Scholar‬

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	All	Since 2019
Citations	54	53
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i10-index	2	2

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Co-authors

Guy RouleauMontreal Neurological Institute-Hospital, McGill UniversityVerified email at mcgill.ca
Alexandre Dionne-LaporteMNI, McGill UniversityVerified email at mcgill.ca
Reihaneh RabbanyAssistant Professor of Computer Science, McGill University; Canada CIFAR AI Chair, MilaVerified email at cs.mcgill.ca
Stephen J. GlattSUNY Upstate Medical UniversityVerified email at upstate.edu

Sameer Sardaar

Sameer Sardaar

McGill University

Verified email at mail.mcgill.ca

Machine learning Genomics Mathematics Neuropsychiatric genetics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Machine learning in schizophrenia genomics, a case‐control study using 5,090 exomes YJ Trakadis, S Sardaar, A Chen, V Fulginiti, A Krishnan American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 180 …, 2019	39	2019
Machine learning analysis of exome trios to contrast the genomic architecture of autism and schizophrenia S Sardaar, B Qi, A Dionne-Laporte, GA Rouleau, R Rabbany, YJ Trakadis Bmc Psychiatry 20, 1-11, 2020	12	2020
Patient stratification using metabolomics to address the heterogeneity of psychosis K MacDonald, Y Jiang, A Krishnan, S Sardaar, B Qi, A Eleftheriadis, ... Schizophrenia Bulletin Open 1 (1), sgaa032, 2020	3	2020
Machine learning in genomic classification and stratification of neuropsychiatric disorders using whole exome sequencing data S Sardaar McGill University (Canada), 2021		2021

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