Explainable Machine Learning Analysis Reveals Gender Differences in the Phenotypic and Neurobiological Markers of Cannabis Use Disorder
Niklason, Gregory, Rawls, Eric, Ma, Sisi, Kummerfeld, Erich, Maxwell, Andrea M, Brucar, Leyla R, Gunner Drossel, Zilverstand, Anna
Published in bioRxiv (01.09.2021)
Published in bioRxiv (01.09.2021)
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Machine Learning Identification of Multiple Predictively Equivalent Risk Models for Severe Hypoglycemia in Patients with Type 2 Diabetes
MA, SISI, SCHREINER, PAMELA, ZMORA, RACHEL, SEAQUIST, ELIZABETH R., CHOW, LISA S.
Published in Diabetes (New York, N.Y.) (01.07.2018)
Published in Diabetes (New York, N.Y.) (01.07.2018)
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Evaluation and Ensembling of Methods for Reverse Engineering of Brain Connectivity from Imaging Data
Ray, Bisakha, Alekseyenko, Alexander V, Ma, Sisi, Statnikov, Alexander, Aliferis, Constantin
Year of Publication 15.03.2016
Year of Publication 15.03.2016
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Journal Article
PAX8 orchestrates an angiogenic program through interaction with SOX17
Chaves-Moreira, Daniele, Mitchell, Marilyn A, Arruza, Cristina, Rawat, Priyanka, Sidoli, Simone, Nameki, Robbin, Reddy, Jessica, Corona, Rosario I, Ma, Sisi, Winterhoff, Boris, Konecny, Gottfried E, Garcia, Benjamin A, Brady, Donita C, Lawrenson, Kate, Morin, Patrice J, Drapkin, Ronny
Published in bioRxiv (10.09.2020)
Published in bioRxiv (10.09.2020)
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A Method for Quantifying Molecular Interactions Using Stochastic Modelling and Super-Resolution Microscopy
Bermudez-Hernandez, Keria, Keegan, Sarah, Whelan, Donna R, Reid, Dylan A, Zagelbaum, Jennifer, Yin, Yandong, Ma, Sisi, Rothenberg, Eli, Fenyo, David
Published in bioRxiv (17.08.2017)
Published in bioRxiv (17.08.2017)
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