A probabilistic generative model for GO enrichment analysis

Enriching Text Representation with Frequent Pattern Mining for Probabilistic Topic Modeling

Probabilistic topic models have been proven very useful for many text mining tasks. Although many variants of topic models have been proposed, most existing works are based on the bag-of-words representation of text in which word combination and order are generally ignored, resulting in inaccurate semantic representation of text. In this paper, we propose a general way to go beyond the bag-of-w...

GenXHC: a probabilistic generative model for cross-hybridization compensation in high-density genome-wide microarray data

MOTIVATION Microarray designs containing millions to hundreds of millions of probes that tile entire genomes are currently being released. Within the next 2 months, our group will release a microarray data set containing over 12,000,000 microarray measurements taken from 37 mouse tissues. A problem that will become increasingly significant in the upcoming era of genome-wide exon-tiling microarr...

Probabilistic acoustic tube: a probabilistic generative model of speech for speech analysis/synthesis

Synthesis of graphene oxide-TiO2 nanocomposite as an adsorbent for the enrichment and determination of rutin

Objective(s):  In our study, graphene oxide-TiO2 nanocomposite (GO/TiO2) was prepared and used for the enrichment of rutin from real samples for the first time.  Materials and Methods:   The synthesized GO/TiO2 was characterized by X-ray diffraction, scanning electron microscopy, and FT-IR spectra.  The enrichment process is fast and highly efficient. The factors including contact time, pH, and...

Bayesian Paragraph Vectors

Word2vec (Mikolov et al., 2013b) has proven to be successful in natural language processing by capturing the semantic relationships between different words. Built on top of single-word embeddings, paragraph vectors (Le and Mikolov, 2014) find fixed-length representations for pieces of text with arbitrary lengths, such as documents, paragraphs, and sentences. In this work, we propose a novel int...