Unleashing high content screening in hit detection – Benchmarking AI workflows including novelty detection

Unleashing high content screening in hit detection – Benchmarking AI workflows including novelty detection

Complex mixtures containing natural products are still an interesting source of novel drug candidates. High content screening (HCS) is a popular tool to screen for such. In particular, multiplexed HCS assays promise comprehensive bioactivity profiles, but generate also high amounts of data. Yet, onl...

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Bibliographic Details
Main Authors: Erwin Kupczyk, Kenji Schorpp, Kamyar Hadian, Sean Lin, Dimitrios Tziotis, Philippe Schmitt-Kopplin, Constanze Mueller
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
High-content screening
Machine learning
Deep learning
Classifier
Novelty detection
Bioactives
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037022004299

Internet

http://www.sciencedirect.com/science/article/pii/S2001037022004299

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