note

A New Method for High-Speed Density Estimation: Likelihood Was Just Decoration

In the world of data science, we are always chasing the "score" of a model. Higher accuracy, lower error, and a higher likelihood. But what if the score you believed ...
GitHub

Scikit-learn integration package for Apache Spark

This package contains some tools to integrate the Spark computing framework with the popular scikit-learn machine library. Among other things, it can: It focuses on problems that have a small amount ...
C&EN

XGBMUT: Predicting the Functional Impact of Missense Mutations Using an Extreme Gradient Boost Classifier

Laboratory of Molecular Modeling and QSAR, Faculty of Pharmacy, Federal University of Rio de Janeiro, 373 Carlos Chagas Filho Avenue, Rio de Janeiro, Rio de Janeiro 21941-170, Brazil Laboratory of ...
eLife

Transcriptional immune suppression and upregulation of double stranded DNA damage and repair repertoires in ecDNA-containing tumors

This study of extrachromosomal DNA (ecDNA) identifies genes that distinguish ecDNA+ and ecDNA- tumors. The findings in the manuscript are important and the genomic analyses convincing. However, some ...
GitHub

ReHLine-Python: Efficient Solver for ERM with PLQ Loss and Linear Constraints

ReHLine-Python is the official Python implementation of ReHLine, a powerful solver for large-scale empirical risk minimization (ERM) problems with convex piecewise linear-quadratic (PLQ) loss ...