A comparison of distributed machine learning methods for the support of "many labs" collaborations in computational modeling of decision making.

Deep learning models are powerful tools for representing the complex learning processes and decision-making strategies used by humans. Such neural network models make fewer assumptions about the underlying mechanisms thus providing experimental flexibility in terms of applicability. However, this comes at the cost of involving a larger number of parameters requiring significantly more data for effective learning.

Functional characterization of Nicotiana benthamiana chromomethylase 3 in developmental programs by virus-induced gene silencing.

DNA methylation is essential for normal developmental processes and genome stability. DNA methyltransferases are key enzymes catalyzing DNA methylation. Chromomethylase (CMT) genes are specific to the plant kingdom and encode chromodomain-containing methyltransferases.