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UNLABELLED: Parallel heatmaps with carefully designed annotation graphics are powerful for efficient visualization of patterns and relationships among high dimensional genomic data. Here we present the ComplexHeatmap pac...

Subjects / keywords: Computer science; Plug-in; Workflow; Software; Usability; Proteomics; Python (programming language); Data science; Data mining; Human–computer interaction; Programming language; Biology

Machine learning and data mining techniques have been used in numerous real-world applications. An assumption of traditional machine learning methodologies is the training data and testing data are taken from the same do...

MOTIVATION: Fast and accurate quality control is essential for studies involving next-generation sequencing data. Whilst numerous tools exist to quantify QC metrics, there is no common approach to flexibly integrate thes...

Large datasets are increasingly common and are often difficult to interpret. Principal component analysis (PCA) is a technique for reducing the dimensionality of such datasets, increasing interpretability but at the same...

BACKGROUND: VSEARCH is an open source and free of charge multithreaded 64-bit tool for processing and preparing metagenomics, genomics and population genomics nucleotide sequence data. It is designed as an alternative to...

Tree boosting is a highly effective and widely used machine learning method. In this paper, we describe a scalable end-to-end tree boosting system called XGBoost, which is used widely by data scientists to achieve state-...

Subjects / keywords: Intraclass correlation; Reliability (semiconductor); Guideline; Inter-rater reliability; Intra-rater reliability; Medicine; Clinical Practice; Reading (process); Test (biology); Computer science; Medical physics; Data mi...

Subjects / keywords: Cross-validation; Bayesian probability; Computer science; Model validation; Variable-order Bayesian network; Artificial intelligence; Data mining; Econometrics; Bayesian inference; Machine learning; Mathematics; Data sci...

Subjects / keywords: Overfitting; Random forest; Classifier (UML); Computer science; Outlier; Artificial intelligence; Pattern recognition (psychology); Curse of dimensionality; Machine learning; Decision tree; Remote sensing; Data mining

Purpose – Partial least squares (PLS) path modeling is a variance-based structural equation modeling (SEM) technique that is widely applied in business and social sciences. Its ability to model composites and factors m...

Subjects / keywords: Data mining; Computer science; Electronic books

GeneCards, the human gene compendium, enables researchers to effectively navigate and inter-relate the wide universe of human genes, diseases, variants, proteins, cells, and biological pathways. Our recently launched Ver...

A system-wide understanding of cellular function requires knowledge of all functional interactions between the expressed proteins. The STRING database aims to collect and integrate this information, by consolidating know...