Tianjiao Chu

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Pointwise consistent, feasible procedures for estimating contemporaneous linear causal structure from time series data have been developed using multiple conditional independence tests, but no such procedures are available for non-linear systems. We describe a feasible procedure for learning a class of non-linear time series structures, which we call(More)
PURPOSE Machine-learning classifiers are trained computerized systems with the ability to detect the relationship between multiple input parameters and a diagnosis. The present study investigated whether the use of machine-learning classifiers improves optical coherence tomography (OCT) glaucoma detection. METHODS Forty-seven patients with glaucoma (47(More)
MOTIVATION One approach to inferring genetic regulatory structure from microarray measurements of mRNA transcript hybridization is to estimate the associations of gene expression levels measured in repeated samples. The associations may be estimated by correlation coefficients or by conditional frequencies (for discretized measurements) or by some other(More)
BACKGROUND The spermatogonial stem cell (SSC) pool in the testes of non-human primates is poorly defined. METHODS To begin characterizing SSCs in rhesus macaque testes, we employed fluorescence-activated cell sorting (FACS), a xenotransplant bioassay and immunohistochemical methods and correlated our findings with classical descriptions of germ cell(More)
There is currently great interest in the development of methods for the minimally invasive diagnosis of fetal genetic disease using cell-free DNA from maternal plasma samples obtained in the first trimester of pregnancy. With the rapid development of high-throughput sequencing technology, the possibility of detecting the presence of trisomy fetal genomes in(More)
Epigenetics can be loosely defined as the study of cellular "traits" that influence biological phenotype in a fashion that is not dependent on the underlying primary DNA sequence. One setting in which epigenetics is likely to have a profound influence on biological phenotype is during intrauterine development. In this context there is a defined and critical(More)
Robotic surgery has emerged as an alternative option in minimally invasive gynecologic surgery. The development of the dual-console da Vinci Si Surgical System(®) has enabled modification of the training atmosphere. We sought to investigate operative times and surgical outcomes while operating with the dual-console model in a training environment for our(More)
BACKGROUND The tetracycline-inducible gene regulation system is a powerful tool that allows temporal and dose-dependent regulation of target transgene expression in vitro and in vivo. Several tetracycline-inducible transgenic mouse models have been described with ubiquitous or tissue-specific expression of tetracycline-transactivator (tTA), reverse(More)
Recently, several studies have reported associations between fat mass and obesity-associated (FTO) gene mutations and cancer susceptibility. But little is known about their association with risk and survival of breast cancer in Chinese population. The aim of this study is to examine whether cancer-related FTO polymorphisms are associated with risk and(More)
MOTIVATION Inference of gene regulatory networks from high throughput measurement of gene and protein expression is particularly attractive because it allows the simultaneous discovery of interactive molecular signals for numerous genes and proteins at a relatively low cost. RESULTS We developed two score-based local causal learning algorithms that(More)