iDNA-ABT is an advanced deep learning model that utilizes adaptive embedding based on bidirectional transformers for language understanding (BERT) together with a novel transductive information maximization (TIM) loss.
BioClass is a tool for biomedical text classification. Through it, a researcher can split a document set, directly related with a specific topic, into relevant or irrelevant documents. BioClass also supports several algorithms in order to increase the classification process efficiency and provides a set of powerful interfaces to analyse, filter and compare obtained results. In addition, all the operations than can be performed in BioClass are connected between them, so that the classification process is completely guided.
PIUMet is a network-based algorithm for integrative analysis of untargeted metabolomic data. It leverages known metabolic reactions and protein-protein interactions to analyze the ambiguous assignment of metabolomics features and identify disease-associated pathways and hidden components.
DRUID combines IBD segments from a set of close relatives to reconstruct the IBD sharing profile of one of their ungenotyped ancestors. It uses this information to estimate relatedness between the ancestor and other more distant relatives.
PIVOT is an R-based platform that wraps open source transcriptome analysis packages with a uniform user interface and graphical data management that allows non-programmers to interactively explore transcriptomics data.
Glo-DB is designed to perform position-based queries of genomic sequence annotations (features). It contains a query language that affords many different types of position searches via command line and graphical user interfaces, and incorporates various visualization tools.