C&EN

Correlation Models of Three Machine Learning Types for Carbon Dioxide/Toluene and Carbon Dioxide/Methanol Binary Systems

Department of Industrial Chemistry, Faculty of Engineering, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-ku, Tokyo 125-8585, Japan ...
Nature

Efficient cross-validation traversals in feature subset selection

Sparse and robust classification models have the potential for revealing common predictive patterns that not only allow for categorizing objects into classes but also for generating mechanistic ...
GitHub

PhySpeTree: an automated pipeline for reconstructing phylogenetic species trees

PhySpeTree is implemented in Python language (supports Python2.7+ and Python3+), designed for Linux systems (docker for Windows OS or Mac OS). Documents: PhySpeTree documentation. Understanding ...
GitHub

Data Structure and Algorithms Problems

Note: Some of the code here is old and was written when I was learning C++. It might be possible that code is not safe or making wrong assumptions. Please use with caution. Pull requests are always ...
Nature

Merlin—rapid analysis of dense genetic maps using sparse gene flow trees

Efforts to find disease genes using high-density single-nucleotide polymorphism (SNP) maps will produce data sets that exceed the limitations of current computational tools. Here we describe a new, ...