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Titlebook: Victor McKusick and the History of Medical Genetics; Krishna R. Dronamraju,Clair A. Francomano Book 2012 Springer Science+Business Media,

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书目名称Victor McKusick and the History of Medical Genetics
编辑Krishna R. Dronamraju,Clair A. Francomano
视频video
概述Associated with Dr. Victor A. McKusick who is well-known as the father of medical genetics.Offers comprehensive and authoritative reviews in medical genetics.Has potential use as a text at several lev
图书封面Titlebook: Victor McKusick and the History of Medical Genetics;  Krishna R. Dronamraju,Clair A. Francomano Book 2012 Springer Science+Business Media,
描述.This book is being planned as a tribute to Dr. Victor A. McKusick (1921-2008), who is well known as the “father of medical genetics”. He was long associated with the Johns Hopkins University School of Medicine, first as a student in the 1940s, and later as a faculty member, becoming the Chairman of the Department of Medicine at Johns Hopkins. He was a co-founder of GENOMICS and founder and lifelong editor of .Mendelian Inheritance in Man., a massive compendium of human syndromes and genetic variants. Dr. McKusick made distinguished contributions to all branches of medical genetics. He was a member of the U.S. National Academy of Sciences and many other academies in the world. He was awarded the National Medal of Science in 2002. He received many other honors including several honorary doctorates.  .The proposed book will reflect all the fields touched upon by Dr. McKusick’s contributions. It will be a valuable source of the latest progress in medical genetics. The contributors are internationally distinguished in their chosen specialties. Besides professional distinction, they are being selected because of their past association with Dr. McKusick, as former students or colleagues
出版日期Book 2012
版次1
doihttps://doi.org/10.1007/978-1-4614-1677-7
isbn_softcover978-1-4899-8770-9
isbn_ebook978-1-4614-1677-7
copyrightSpringer Science+Business Media, LLC 2012
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Vincent L. McKusickization system was constructed by attaching accelerometers to dairy cows kept indoors in a barn in order to obtain radio wave strength. Using link quality indicator (LQI) data, we employed four machine learning models to predict the position of the cow: LightGBM, logistic regression, support vector
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Krishna R. Dronamraju proposed, that is, adding some perturbations to the input of a deep learning model could easily change the prediction result. Deep learning-based NLP (natural language processing) classification algorithms also have this vulnerability. DeepWordBug algorithm is an advanced algorithm for generating a
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Malcolm A. Ferguson-Smithcted with professional experiences seems to be a crucial motivator in the research in the management and business areas where these technologies condition the development of professional activities. The goal of the paper is the analysis of students’ thesis topics defended in the last 10 years in bus
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