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Economic Background and Educational Attainment:The Role of Gene-Environment Interactions
Economic Background Educational Attainment Gene-Environment Interactions
2016/3/3
On average, children from less economically privileged households have lower levels of educational attainment than their higher-income peers, and this association has important implications for interg...
Classify hyperdiploidy status of multiple myeloma patients using gene expression profiles
Classify hyperdiploidy status multiple myeloma patients expression profiles
2016/1/25
Multiple myeloma (MM) is a cancer of antibody-making plasma cells. It frequently harbors alterations in DNA and chromosome copy numbers, and can be divided into two major subtypes, hyperdiploid (HMM) ...
Classify hyperdiploidy status of multiple myeloma patients using gene expression profiles
Classify hyperdiploidy status multiple myeloma patients expression profiles
2016/1/20
Multiple myeloma (MM) is a cancer of antibody-making plasma cells. It frequently harbors alterations in DNA and chromosome copy numbers, and can be divided into two major subtypes, hyperdiploid (HMM) ...
Classification of Gene Microarrays by P enalized Logisti Regression
cancer diagnosis feature selection logistic regression microarray support vector machines
2015/8/21
Classification of Gene Microarrays by P enalized Logisti Regression.
Bayesian semiparametric analysis for two-phase studies of gene-environment interaction
Biased sampling colorectal cancer Dirichlet prior exposure enriched sampling gene-environment independence jointeffects multivariate categorical distribution spike and slab prior
2013/6/14
The two-phase sampling design is a cost-efficient way of collecting expensive covariate information on a judiciously selected subsample. It is natural to apply such a strategy for collecting genetic d...
The vast majority of connections between complex disease and common genetic variants were identified through meta-analysis, a powerful approach that enables large samples sizes while protecting agains...
Reverse Engineering Gene Interaction Networks Using the Phi-Mixing Coefficient
Reverse Engineering Gene Interaction Networks Phi-Mixing Coefficient
2012/9/18
In this paper, we present a new algorithm for reverse-engineering gene interaction networks (GINs) from expression data, by viewing the expres-sion levels of various genes as coupled random variables....
Reverse Engineering Gene Interaction Networks Using the Phi-Mixing Coefficient
Reverse Engineering Gene Interaction Networks Phi-Mixing Coefficient
2012/9/18
In this paper, we present a new algorithm for reverse-engineering gene interaction networks (GINs) from expression data, by viewing the expres-sion levels of various genes as coupled random variables....
An integrative analysis of cancer gene expression studies using Bayesian latent factor modeling
micro-environmental parameters in cancer Weibull survival models
2010/10/19
We present an applied study in cancer genomics for integrating data and inferences from laboratory experiments on cancer cell lines with observational data obtained from human breast cancer studies. T...
A two-sample test for high-dimensional data with applications to gene-set testing
High dimension gene-set testing large p small n martingale central limit theorem multiple comparison
2010/3/10
We propose a two-sample test for the means of high-dimensional
data when the data dimension is much larger than the sample size.
Hotelling’s classical T 2 test does not work for this “large p, small...
Increasing stability and interpretability of gene expression signatures
stability interpretability gene expression signatures
2010/3/9
Motivation Molecular signatures for diagnosis or prognosis estimated
from large-scale gene expression data often lack robustness and
stability, rendering their biological interpretation challenging....
Bayesian Identification of Differential Gene Expression Induced by Metals in Human Bronchial Epithelial Cells
Bayesian latent variables MCMC dierential expression hierarchical model microarray macroarray toxicology model selection
2009/9/21
The study of genetics continues to advance dramatically with the
development of microarray technology. In light of the advancements, interesting
statistical challenges have arisen. Given that only o...
Gene ranking and biomarker discovery under correlation
Gene ranking biomarker discovery correlation
2010/3/18
Biomarker discovery and gene ranking is a standard task in genomic
high throughput analysis. Typically, the ordering of markers is based on a stabilized
variant of the t-score, such as the moderated...
INFERRING GENE DEPENDENCY NETWORKS FROM GENOMIC LONGITUDINAL DATA：A FUNCTIONAL DATA APPROACH
graphical model longitudinal data dynamical correlation gene dependency networks
2009/2/25
A key aim of systems biology is to unravel the regulatory interactions among genes
and gene products in a cell. Here we investigate a graphical model that treats the
observed gene expression over ti...
Altruism Gene May Limit Individual Reproduction, Increase Overall Group Fitness
altruistic behavior Human cultural
2006/12/15
8 December 2006，Human cultural practices requiring language and sophisticated cognitive skills may propagate altruistic behavior, according to two articles in the 8 December issue of Science.