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Activation of NF-κB contributes to cardiac hypertrophy and the interleukin-1 receptor (IL-1R)-mediated MyD88-dependent signaling pathway predominately activates NF-κB. Recent studies have shown that the TIR/BB-Loop mimetic (AS-1) disrupted the interaction of MyD88 with the IL-1R, resulting in blunting of NF-κB activation. We have examined the effects of(More)
OBJECTIVE Plasma fibrinogen has been defined as a risk factor of cardiovascular disease and may play a role in the development of cardiac hypertrophy. We have previously demonstrated that the Toll-like receptor 4 (TLR4)-mediated myeloid differentiation primary response protein 88 (MyD88)-dependent nuclear factor-kappaB (NF-kappaB) pathway is involved in(More)
BACKGROUND Directly comparing gene expression profiles of estrogen receptor-positive (ER+) and estrogen receptor-negative (ER-) breast cancers cannot determine whether differentially expressed genes between these two subtypes result from dysregulated expression in ER+ cancer or ER- cancer versus normal controls, and thus would miss critical information for(More)
Real world Web mining applications usually have different requirements, such as massive data processing, low system latency, and high scalability. In order to meet these different requirements, we proposed a distributed text mining system with a layered architecture that divides the system functions into three layers, namely, the crawling and storage layer,(More)
BACKGROUND Cancer cells typically exhibit large-scale aberrant methylation of gene promoters. Some of the genes with promoter methylation alterations play "driver" roles in tumorigenesis, whereas others are only "passengers". RESULTS Based on the assumption that promoter methylation alteration of a driver gene may lead to expression alternation of a set(More)
Community detection is a long-standing yet very difficult task in social network analysis. It becomes more challenging as many online social networking sites are evolving into super-large scales. Numerous methods have been proposed for community detection from massive networks, but how to reconcile the partitioning efficiency and the community quality(More)
Probabilistic frequent pattern mining over uncertain data has received a great deal of attention recently due to the wide applications of uncertain data. Similar to its counterpart in deterministic databases, however, prob-abilistic frequent pattern mining suffers from the same problem of generating an exponential number of result patterns. The large number(More)
While agreement-based joint training has proven to deliver state-of-the-art alignment accuracy, the produced word alignments are usually restricted to one-to-one mappings because of the hard constraint on agreement. We propose a general framework to allow for arbitrary loss functions that measure the disagreement between asymmetric alignments. The loss(More)