Yannis J Trakadis
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Explore the profile of Yannis J Trakadis including associated specialties, affiliations and a list of published articles.
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12
Citations
170
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Recent Articles
1.
Quinn T, Hess J, Marshe V, Barnett M, Hauschild A, Maciukiewicz M, et al.
Mol Psychiatry
. 2024 Jan;
29(2):387-401.
PMID: 38177352
Applications of machine learning in the biomedical sciences are growing rapidly. This growth has been spurred by diverse cross-institutional and interdisciplinary collaborations, public availability of large datasets, an increase in...
2.
3.
Qi B, Boscenco S, Ramamurthy J, Trakadis Y
Comput Methods Programs Biomed
. 2021 Dec;
214:106590.
PMID: 34954633
Background And Objective: Alterations of the expression of a variety of genes have been reported in patients with schizophrenia (SCZ). Moreover, machine learning (ML) analysis of gene expression microarray data...
4.
Qi B, Ramamurthy J, Bennani I, Trakadis Y
Am J Med Genet B Neuropsychiatr Genet
. 2021 Mar;
186(2):101-112.
PMID: 33645908
This study analyzed gene expression messenger RNA data, from cases with major depressive disorder (MDD) and controls, using supervised machine learning (ML). We built on the methodology of prior studies...
5.
Qi B, Fiori L, Turecki G, Trakadis Y
Int J Neuropsychopharmacol
. 2020 May;
23(8):505-510.
PMID: 32365192
Background: There is a lack of reliable biomarkers for major depressive disorder (MDD) in clinical practice. However, several studies have shown an association between alterations in microRNA levels and MDD,...
6.
Sardaar S, Qi B, Dionne-Laporte A, Rouleau G, Rabbany R, Trakadis Y
BMC Psychiatry
. 2020 Mar;
20(1):92.
PMID: 32111185
Background: Machine learning (ML) algorithms and methods offer great tools to analyze large complex genomic datasets. Our goal was to compare the genomic architecture of schizophrenia (SCZ) and autism spectrum...
7.
Trakadis Y, Sardaar S, Chen A, Fulginiti V, Krishnan A
Am J Med Genet B Neuropsychiatr Genet
. 2018 Apr;
180(2):103-112.
PMID: 29704323
Our hypothesis is that machine learning (ML) analysis of whole exome sequencing (WES) data can be used to identify individuals at high risk for schizophrenia (SCZ). This study applies ML...
8.
Trakadis Y, Fulginiti V, Walterfang M
J Inherit Metab Dis
. 2017 Feb;
41(4):613-621.
PMID: 28210873
A literature review was conducted, using the computerized "Online Mendelian Inheritance in Man" (OMIM) and PubMed, to identify inborn errors of metabolism (IEM) in which psychosis may be a predominant...
9.
Trakadis Y, Buote C, Therriault J, Jacques P, Larochelle H, Levesque S
BMC Med Genomics
. 2014 Jun;
7:22.
PMID: 24884844
Background: We propose a phenotype-driven analysis of encrypted exome data to facilitate the widespread implementation of exome sequencing as a clinical genetic screening test.Twenty test-patients with varied syndromes were selected...
10.
Trakadis Y, DAgostino D, Braverman N, Levesque S, Morinville V
Paediatr Child Health
. 2013 May;
17(5):247-8.
PMID: 23633898
No abstract available.