Background With the rapid accumulation of biological datasets, machine learning methods
designed to automate data analysis are urgently needed. In recent years, so-called topic …

The annotation of genomic information is a major challenge in biology and bioinformatics.
Existing databases of known gene functions are incomplete and prone to errors, and the …

Short texts are everywhere in the Web, including messages posted in social media, status
messages and blog comments, and uncovering the topics of this type of messages is crucial …

Topic modeling is a widely studied foundational and interesting problem in the text mining
domains. Conventional topic models based on word co-occurrences infer the hidden …

The rapid expansion of Advanced Meter Infrastructure (AMI) has dramatically altered the
energy information landscape. However, our ability to use this information to generate …

Motivation Recently, many chromatin immunoprecipitation sequencing experiments have
been carried out for a diverse group of transcription factors (TFs) in many different types of …

Background The human gut microbiome has been suggested to affect human health and
thus has received considerable attention. To clarify the structure of the human gut …

One limitation of most existing probabilistic latent topic models for document classification is
that the topic model itself does not consider useful side-information, namely, class labels of …

Background Knowledge of gene and protein functions is paramount for the understanding of
physiological and pathological biological processes, as well as in the development of new …

Genomic annotations describing functional features of genes and proteins through
controlled terminologies and ontologies are extremely valuable, especially for computational …