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)
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)
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)
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)
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)
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 A growing body of literature has demonstrated the potential for non-invasive diagnosis of a variety of human genetic diseases using cell-free DNA extracted from maternal plasma samples in early gestation. Such methods are of great significance to the obstetrics community because of their potential use as clinical standard of care. Proof of(More)
Instrumental Variable (IV) estimation is a powerful strategy for estimating causal influence, even in the presence of confounding. Standard IV estimation requires that the relationships between variables is linear. Here we relax the linearity requirement by constructing a piecewise linear IV estimator. Simulation studies show that when the causal influence(More)
In a causal graphical model, an instrument for a variable X and its effect Y is a ran­ dom variable that is a cause of X and in­ dependent of all the causes of Y except X (Pearl 1995). For continuous variables, in­ strumental variables can be used to estimate how the distribution of an effect will respond to a manipulation of its causes, even in the(More)
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