@article{a252984b380446c09ce20147b24629f9,
title = "Accurate Classification of Cardiomyopathy Diagnosis by Chromatin Accessibility",
keywords = "cardiomyopathies, chromatin, diagnostic tests, machine learning, precision medicine",
author = "Samadrita Bhattacharyya and Jialei Duan and Vela, {Ryan J.} and Minoti Bhakta and Pietro Bajona and Mammen, {Pradeep P.A.} and Hon, {Gary C.} and Munshi, {Nikhil V.}",
note = "Funding Information: This work was supported by the American Heart Association (17PRE33670730), National Institutes of Health (HL136604, HL133642, and HL135217 to Dr Munshi; DP2GM128203 to Dr Hon; UM1HG011996 to Drs Munshi and Hon; R01HL102478 and P50HD087351 to Dr Mammen), the Burroughs Wellcome Fund (1009838 to Dr Munshi; 1019804 to Dr Hon), the March of Dimes Foundation (#5-FY13-203 to Dr Munshi), the Department of Defense (PR172060 to Drs Munshi and Hon), CPRIT (Dr Hon), and the Green Center for Reproductive Biology (Dr Hon). ",
year = "2022",
month = sep,
day = "13",
doi = "10.1161/CIRCULATIONAHA.122.059659",
language = "English (US)",
volume = "146",
pages = "878--881",
journal = "Circulation",
issn = "0009-7322",
publisher = "Lippincott Williams and Wilkins",
number = "11",
}