New Findings from Max-Planck-Institute for Molecular Physiology Update Understan ding of Machine Learning (Identification of Lysosomotropism Using Explainable Ma chine Learning and Morphological Profiling Cell Painting Data)
New Findings from Max-Planck-Institute for Molecular Physiology Update Understan ding of Machine Learning (Identification of Lysosomotropism Using Explainable Ma chine Learning and Morphological Profiling Cell Painting Data)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting from Dortmund, Germany, by NewsRx journa lists, research stated, “Lysosomotropism is a phenomenon of diverse pharmaceutic al interests because it is a property of compounds with diverse chemical structu res and primary targets. While it is primarily reported to be caused by compound s having suitable lipophilicity and basicity values, not all compounds that fulf ill such criteria are in fact lysosomotropic.” Financial support for this research came from Max Planck Society.
Key words
Dortmund/Germany/Europe/Cyborgs/Emer ging Technologies/Machine Learning/Max-Planck-Institute for Molecular Physiolo gy
NETL
NSTL