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中国人民大学统计学院李扬教授及学生在期刊Genome Biology发表论文(图)
李扬 数据分析 生物统计
2024/11/26
中国人民大学统计学院李扬教授及博士生吴明聪在《Genome Biology》发表论文,提出基于混合零膨胀负二项模型的单细胞数据聚类分析方法,能够有效控制表达数据中的技术脱落及批次混杂问题,并创新性地利用惩罚技术实现同步的高度变异基因识别,是探索细胞间的异质性及与异质性机制形成相关的基因表达研究的有力工具。研究结果显示,该方法在异质性和基因识别方面均具有一定优势。
A variational principle for computing nonequilibrium fluxes and potentials in genome-scale biochemical networks
Constraint-based modeling Flux balance analysis
2015/7/3
We derive a convex optimization problem on a steady-state nonequilibrium network of biochemical
reactions, with the property that energy conservation and the second law of thermodynamics both hold
a...
Efficient Algorithms for Multivariate Linear Mixed Models in Genome-wide Association Studies
Efficient Algorithms Multivariate Linear Mixed Models Genome-wide Association Studies
2013/6/17
Multivariate linear mixed models (mvLMMs) have been widely used in many areas of genetics, and have attracted considerable recent interest in genome-wide association studies (GWASs). However, existing...
Replicability analysis for Genome-wide Association studies
Replicability analysis Genome-wide Association studies
2012/11/22
The paramount importance of replicating associations is well recognized in the genome-wide associaton (GWA) research community, yet methods for assessing replicability of associations are scarce. Publ...
Integrated analysis of variants and pathways in genome-wide association studies using polygenic models of disease
Integrated analysis of variants pathways genome-wide association studies polygenic models of disease
2012/9/18
Many common diseases are highly polygenic, modulated by a large number genetic factors with small effects on suscep-tibility to disease. These small effects are difficult to map reliably in genetic as...
A model selection approach to genome wide association studies
Genome wide association Multiple testing Linear regression,
2010/10/14
For the vast majority of genome wide association studies (GWAS) published so far, statistical analysis was performed by testing markers individually. In this article we present some elementary statis...
Adaptive estimation for Hawkes processes:application to genome analysis
Hawkes’ process model selection oracle inequalities data-driven penalty minimaxrisk adaptive estimation
2010/3/18
The aim of this paper is to provide a new method for the detection
of either favored or avoided distances between genomic events
along DNA sequences. These events are modeled by a Hawkes’ process.
...
Improving power in genome-wide association studies:weights tip the scale
Bonferroni correction Genome-wide association analysis Multiple testing Weightedp-values
2010/4/26
Genome-wide association analysis has generated much discussion about how to preserve power
1 to detect signals despite the detrimental effect of multiple testing on power. We develop a weighted multi...