Søgeresultater - Glessner, Joseph T.
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Expansion of Schizophrenia Gene Network Knowledge Using Machine Learning Selected Signals From Dorsolateral Prefrontal Cortex and Amygdala RNA-seq Data af Liu, Yichuan, Qu, Hui-Qi, Chang, Xiao, Tian, Lifeng, Glessner, Joseph, Sleiman, Patrick A. M., Hakonarson, Hakon
Udgivet 2022Text -
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An electronic health record (EHR) phenotype algorithm to identify patients with attention deficit hyperactivity disorders (ADHD) and psychiatric comorbidities af Slaby, Isabella, Hain, Heather S., Abrams, Debra, Mentch, Frank D., Glessner, Joseph T., Sleiman, Patrick M. A., Hakonarson, Hakon
Udgivet 2022Text -
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PennCNV: An integrated hidden Markov model designed for high-resolution copy number variation detection in whole-genome SNP genotyping data af Wang, Kai, Li, Mingyao, Hadley, Dexter, Liu, Rui, Glessner, Joseph, Grant, Struan F.A., Hakonarson, Hakon, Bucan, Maja
Udgivet 2007Text -
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Copy number variation analysis in the context of electronic medical records and large-scale genomics consortium efforts af Connolly, John J., Glessner, Joseph T., Almoguera, Berta, Crosslin, David R., Jarvik, Gail P., Sleiman, Patrick M., Hakonarson, Hakon
Udgivet 2014Text -
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Microdeletions and Microduplications in Patients with Congenital Heart Disease and Multiple Congenital Anomalies af Goldmuntz, Elizabeth, Paluru, Prasuna, Glessner, Joseph, Hakonarson, Hakon, Biegel, Jaclyn A., White, Peter S., Gai, Xiaowu, Shaikh, Tamim H.
Udgivet 2011Text -
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Machine Learning Reduced Gene/Non-Coding RNA Features That Classify Schizophrenia Patients Accurately and Highlight Insightful Gene Clusters af Liu, Yichuan, Qu, Hui-Qi, Chang, Xiao, Tian, Lifeng, Qu, Jingchun, Glessner, Joseph, Sleiman, Patrick M. A., Hakonarson, Hakon
Udgivet 2021Text