81 search results - page 3 / 17 » Nonparametric Bayesian Sparse Factor Models with application... |
JMLR
2010
13 years 16 days ago
2010
Networks are becoming a unifying framework for modeling complex systems and network inference problems are frequently encountered in many fields. Here, I develop and apply a gener...
EJASP
2010
13 years 19 days ago
2010
The problem of uncovering transcriptional regulation by transcription factors (TFs) based on microarray data is considered. A novel Bayesian sparse correlated rectified factor mod...
BMCBI
2008
13 years 5 months ago
2008
Background: Biologically active sequence motifs often have positional preferences with respect to a genomic landmark. For example, many known transcription factor binding sites (T...
AAAI
2010
13 years 7 months ago
2010
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
BMCBI
2010
13 years 23 days ago
2010
Background: The correlation between the expression levels of transcription factors and their target genes can be used to infer interactions within animal regulatory networks, but ...