Search Results - "Zhuang, Farica"

GENESIS: Gene-Specific Machine Learning Models for Variants of Uncertain Significance Found in Catecholaminergic Polymorphic Ventricular Tachycardia and Long QT Syndrome-Associated Genes by Draelos, Rachel L., Ezekian, Jordan E., Zhuang, Farica, Moya-Mendez, Mary E., Zhang, Zhushan, Rosamilia, Michael B., Manivannan, Perathu K.R., Henao, Ricardo, Landstrom, Andrew P.

“…Cardiac channelopathies such as catecholaminergic polymorphic tachycardia and long QT syndrome predispose patients to fatal arrhythmias and sudden cardiac…”
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High-throughput data and modeling reveal insights into the mechanisms of cooperative DNA-binding by transcription factor proteins by Martin, Vincentius, Zhuang, Farica, Zhang, Yuning, Pinheiro, Kyle, Gordân, Raluca

“…Cooperative DNA-binding by transcription factor (TF) proteins is critical for eukaryotic gene regulation. In the human genome, many regulatory regions contain…”
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GENESIS: Gene-Specific Machine Learning Models for Variants of Uncertain Significance Found in Catecholaminergic Polymorphic Ventricular Tachycardia and Long QT Syndrome-Associated Genes by Draelos, Rachel L., Ezekian, Jordan E., Zhuang, Farica, Moya-Mendez, Mary E., Zhang, Zhushan, Rosamilia, Michael B., Manivannan, Perathu K.R., Henao, Ricardo, Landstrom, Andrew P.

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Machine Learning Algorithms to Predict Mortality and Allocate Palliative Care for Older Patients With Hip Fracture by Cary, Michael P., Zhuang, Farica, Draelos, Rachel Lea, Pan, Wei, Amarasekara, Sathya, Douthit, Brian J., Kang, Yunah, Colón-Emeric, Cathleen S.

“…To evaluate a machine learning model designed to predict mortality for Medicare beneficiaries aged >65 years treated for hip fracture in Inpatient…”
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Extensible benchmarking of methods that identify and quantify polyadenylation sites from RNA-seq data by Bryce-Smith, Sam, Burri, Dominik, Gazzara, Matthew R, Herrmann, Christina J, Danecka, Weronika, Fitzsimmons, Christina M, Wan, Yuk Kei, Zhuang, Farica, Fansler, Mervin M, Fernández, José M, Ferret, Meritxell, Gonzalez-Uriarte, Asier, Haynes, Samuel, Herdman, Chelsea, Kanitz, Alexander, Katsantoni, Maria, Marini, Federico, McDonnel, Euan, Nicolet, Ben, Poon, Chi-Lam, Rot, Gregor, Schärfen, Leonard, Wu, Pin-Jou, Yoon, Yoseop, Barash, Yoseph, Zavolan, Mihaela

“…The tremendous rate with which data is generated and analysis methods emerge makes it increasingly difficult to keep track of their domain of applicability,…”
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