Nonparametric Bayesian sparse factor models with application to gene expression modeling

A nonparametric Bayesian extension of Factor Analysis (FA) is proposed where observed data $\mathbf{Y}$ is modeled as a linear superposition, $\mathbf{G}$, of a potentially infinite number of hidden factors, $\mathbf{X}$. The Indian Buffet Process (IBP) is used as a prior on $\mathbf{G}$ to incorporate sparsity and to allow the number of latent features to be inferred. The model's utility for modeling gene expression data is investigated using randomly generated data sets based on a known sparse connectivity matrix for E. Coli, and on three biological data sets of increasing complexity.

Bayesian estimation of simultaneous musical notes based on frequency domain modelling

This paper proposes a Bayesian method for polyphonic music description. The method first divides an input audio signal into a series of sections called snapshots, and then estimates parameters such as fundamental frequencies and amplitudes of the notes contained in each snapshot. The parameter estimation process is based on a frequency domain modelling and Gibbs sampling. Experimental results obtained from audio signals of test note patterns are encouraging; the accuracy is better than 80% for the estimation of fundamental frequencies in terms of semitones and instrument names when the number of simultaneous notes is two.

MicroRNA regulation and the variability of human cortical gene expression

Understanding the driving forces of gene expression variation within human populations will provide important insights into the molecular basis of human phenotypic variation. In the genome, the gene expression variability differs among genes, and at prese

Isolation, expression and characterization of a novel dual serine protease inhibitor, OH-TCI, from king cobra venom

Snake venom Kunitz/BPTI members are good tools for understanding of structure-functional relationship between serine proteases and their inhibitors. A novel dual Kunitz/BPTI serine proteinase inhibitor named OH-TCI (trypsin- and chymotrypsin-dual inhibito

Developmental Expression of an Amphioxus (Branchiostoma belcheri) Gene Encoding a GATA Transcription Factor

GATA基因在脊椎动物和非脊椎动物的发育中行使重要的功能,该家族的成员在进化上也足非常保守的.脊椎动物的GATA基因分为两个亚群:GATA1/2/3和GATA4/5/6.通过生物信息分析,在文吕鱼的基因缓中找到了3个GATA基因:一个GATA1/2/3业家族基因,两个GATA4/5/6亚家族基因:还找到一个类GATA基因.还克隆了白氏文昌鱼(Branchiostoma belcheri)GATA123的一段序列,并研究了它在早期胚胎发育中的表达图式.结果表明GATA123在原肠胚的中内胚层表达,而在神经胚晚期和幼体早期,GATA123在脑泡和消化道中部区域表达.这种表达模式与头部发育的重要基因Otx相类似.结果提示在文吕鱼脑泡的发育过程中GATA123和Otx很可能共同发挥着重要的作用.