Deep Learning for Toxicity and Disease Prediction
dc.contributor.editor | Gong, Ping | |
dc.contributor.editor | Zhang, Chaoyang | |
dc.contributor.editor | Chen, Minjun | |
dc.date.accessioned | 2021-11-18T16:24:30Z | |
dc.date.available | 2021-11-18T16:24:30Z | |
dc.date.issued | 2020 | |
dc.identifier | ONIX_20211118_9782889636327_906 | |
dc.identifier.uri | https://directory.doabooks.org/handle/20.500.12854/73774 | |
dc.description.abstract | This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact | |
dc.language | English | |
dc.subject.classification | thema EDItEUR::P Mathematics and Science::PD Science: general issues | en_US |
dc.subject.classification | thema EDItEUR::M Medicine and Nursing::MF Pre-clinical medicine: basic sciences::MFN Medical genetics | en_US |
dc.subject.other | deep learning | |
dc.subject.other | disease diagnosis or prognosis | |
dc.subject.other | chemical toxicity prediction | |
dc.subject.other | deep neural networks | |
dc.subject.other | conventional machine learning | |
dc.title | Deep Learning for Toxicity and Disease Prediction | |
dc.type | book | |
oapen.identifier.doi | 10.3389/978-2-88963-632-7 | |
oapen.relation.isPublishedBy | bf5ce210-e72e-4860-ba9b-c305640ff3ae | |
oapen.relation.isbn | 9782889636327 | |
oapen.pages | 143 |
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