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Machine Learning Models in Drug Disc...

Gupta, Rohan.

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Machine Learning Models in Drug Discovery and Development.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine Learning Models in Drug Discovery and Development./
作者:	Gupta, Rohan.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
面頁冊數:	70 p.
附註:	Source: Masters Abstracts International, Volume: 85-03.
Contained By:	Masters Abstracts International85-03.
標題:	Pharmacology. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30567546
ISBN:	9798380377164

Machine Learning Models in Drug Discovery and Development.
Gupta, Rohan.

Machine Learning Models in Drug Discovery and Development. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 70 p.

Source: Masters Abstracts International, Volume: 85-03.

Thesis (M.S.)--Drexel University, 2023.

Machine learning models have seen increased use in drug discovery and development. With the rise in their popularity, it has become important to describe machine learning in a manner that is easily understandable to a researcher not well-versed in machine learning. This thesis introduces machine learning to such researchers, with particular focus on supervised machine learning models that learn to make predictions about a target concept from training data. A general overview of the machine learning methods and the molecular data representations are provided, and two case studies are discussed to demonstrate some of the common applications: drug-target interaction prediction using artificial neural networks, and drug property prediction using decision trees.

ISBN: 9798380377164Subjects--Topical Terms:

634543
Pharmacology.
Subjects--Index Terms:

Decision trees

Machine Learning Models in Drug Discovery and Development.
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653 $a Drug discovery
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