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作者：Wu, Qiuyu; Luo, Xiangyu
作者单位：Renmin University of China
摘要：Inferring gene regulatory networks can elucidate how genes work coop-eratively. The gene-gene collaboration information is often learned by Gaus-sian graphical models (GGM) that aim to identify whether the expression levels of any pair of genes are dependent, given other genes' expression values. One basic assumption that guarantees the validity of GGM is data normality, and this often holds for bulk-level expression data which aggregate biological signals from a collection of cells. However, ...
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作者：Larsen, Alexandra; Yang, Shu; Reich, Brian J.; Rappold, Ana G.
作者单位：Duke University; North Carolina State University; United States Environmental Protection Agency
摘要：Wildland fire smoke contains hazardous levels of fine particulate mat-ter (PM2.5), a pollutant shown to adversely effect health. Estimating fire at-tributable PM2.5 concentrations is key to quantifying the impact on air quality and subsequent health burden. This is a challenging problem since only to-tal PM2.5 is measured at monitoring stations and both fire-attributable PM2.5 and PM2.5 from all other sources are correlated in space and time. We propose a framework for estimating fire-contribu...
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作者：Brill, Barak; Amir, Amnon; Heller, Ruth
作者单位：Tel Aviv University; Tel Aviv University; Chaim Sheba Medical Center
摘要：Identifying which taxa in our microbiota are associated with traits of in-terest is important for advancing science and health. However, the identifica-tion is challenging because the measured vector of taxa counts (by amplicon sequencing) is compositional, so a change in the abundance of one taxon in the microbiota induces a change in the number of sequenced counts across all taxa. The data are typically sparse, with many zero counts present either due to biological variance or limited sequen...
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作者：Zhang, Jingru; Merikangas, Kathleen R.; Li, Hongzhe; Shou, Haochang
作者单位：University of Pennsylvania; National Institutes of Health (NIH) - USA; NIH National Institute of Mental Health (NIMH)
摘要：Repeated observations have become increasingly common in biomedi-cal research and longitudinal studies. For instance, wearable sensor devices are deployed to continuously track physiological and biological signals from each individual over multiple days. It remains of great interest to appropri-ately evaluate how the daily distribution of biosignals might differ across disease groups and demographics. Hence, these data could be formulated as multivariate complex object data, such as probabilit...
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作者：Ye, Ting; Small, Dylan S.; Rosenbaum, Paul R.
作者单位：University of Washington; University of Washington Seattle; University of Pennsylvania
摘要：Many observational studies assess the impact of a treatment on an outcome that has several dimensions. In the observational study that we discuss, physical abuse of children may affect the degree to which the child exhibits depression, withdrawal or aggression. A treatment may affect all, some or none of these dimensions. In addition to the scientific interest in learning the effect on each dimension, it is also known that an appropriate combination of dimensions may increase power, efficiency...
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作者：Ross, Gordon J.; Kolev, Aleksandar A.
作者单位：University of Edinburgh
摘要：The Epidemic Type Aftershock Sequence (ETAS) model is a self -exciting point process which is used to model and forecast the occurrence of earthquakes in a geographical region. The ETAS model assumes that the oc-currence of mainshock earthquakes follows an inhomogeneous spatial point process, with their aftershock earthquakes modelled via a separate triggering kernel. Most previous studies of the ETAS model have relied on point esti-mates of the model parameters, due to the complexity of the l...
