Active machine learning-driven experimentation to determine compound effects on protein patterns

eLife Sciences is a unique, non-profit collaboration between the funders and practitioners of research to improve the way important results are presented and shared. The open-access eLife journal is the first step in this initiative to make science publishing more effectively benefit science and scientists. eLife Sciences Publications, Ltd is a limited liability non-profit non-stock corporation incorporated in the State of Delaware, USA, with company number 5030732, and is registered in the UK with company number FC030576 and branch number BR015634 at the address: eLife Sciences Publications, Ltd 1st Floor, 24 Hills Road Cambridge CB2 1JP UK


Link to Full Article: Active machine learning-driven experimentation to determine compound effects on protein patterns

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