In a novel study, researchers from the Icahn School of Medicine at Mount Sinai introduced LoGoFunc, an advanced computational tool that predicts pathogenic gain- and loss-of-function variants across ...
In both cases, it would be better to train the machine learning model with a loss function that ignores the human’s objective and then adjust predictions ex post according to that objective. We ...
Hosted on MSN
Machine learning workflow enables faster, more reliable organic crystal structure prediction
To address these challenges, Associate Professor Takuya Taniguchi from the Center for Data Science and Ryo Fukasawa from Graduate School of Advanced Science and Engineering at Waseda University, Japan ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results