Statistical approaches enabling technology-specific assay interference prediction from large screening data sets

High throughput screening (HTS) technologies allow the biological testing of hundreds of thousands of compounds per day. Typically, a substantial proportion of the initial hits obtained by HTS are artifacts caused by assay interference. Therefore, global and technology-specific in silico models for...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Vincenzo Palmacci, Steffen Hirte, Jorge Enrique Hernández González, Floriane Montanari, Johannes Kirchmair
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Elsevier 2024-06-01
Σειρά:	Artificial Intelligence in the Life Sciences
Θέματα:	Machine learning Assay interfering compounds Fluorescence Biological assays High-throughput screening
Διαθέσιμο Online:	http://www.sciencedirect.com/science/article/pii/S2667318524000060
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