Convolutional neural network (CNN)-based deep learning (DL) is a powerful, recently
developed image classification approach. With origins in the computer vision and image …

App stores allow users to search, download, and purchase software applications to
accomplish daily tasks. Also, they enable crowd-users to submit textual feedback or star …

Turnover intention is an employee's reported willingness to leave her organization within a
given period of time and is often used for studying actual employee turnover. Since …

Model-Based Clustering, Classification, and Denisty Estimation Using mclust in R Model-
based clustering and classification methods provide a systematic statistical approach to …

Background To evaluate binary classifications and their confusion matrices, scientific
researchers can employ several statistical rates, accordingly to the goal of the experiment …

The cistrome is the complete set of transcription factor (TF) binding sites (cis-elements) in an
organism, while an epicistrome incorporates tissue-specific DNA chemical modifications and …

Motivation Single-cell RNA sequencing (scRNA-seq) technologies enable the study of
transcriptional heterogeneity at the resolution of individual cells and have an increasing …

Precision-recall (PR) and receiver operating characteristic (ROC) curves are valuable
measures of classifier performance. Here, we present the R-package PRROC, which allows …

Background The identification and characterisation of differentially methylated regions
(DMRs) between phenotypes in the human genome is of prime interest in epigenetics. We …

The precision–recall plot is more informative than the ROC plot when evaluating classifiers
on imbalanced datasets, but fast and accurate curve calculation tools for precision–recall …