Xiaoyu Jiang's research while affiliated with Biogen and other places
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Publications (8)
Background
Differential gene expression is important to understand the biological differences between healthy and diseased states. Two common sources of differential gene expression data are microarray studies and the biomedical literature.
Methods
With the aid of text mining and gene expression analysis we have examined the comparative properties...
As modern biotechnologies advance, it has become increasingly frequent that different modalities of high-dimensional molecular data (termed “omics” data in this paper), such as gene expression, methylation, and copy number, are collected from the same patient cohort to predict the clinical outcome. While prediction based on omics data has been wide...
The table displays the parameters of the additional simulation settings. See the results in Subsection 3.2.2.
Citations
... The identification of differentially expressed genes (DEGs) through RNA-Seq analysis is an essential part of the study of biological pathways implicated in various neurological disorders. The purpose of conducting Differential Expression Gene (DEG) analysis is to identify genes that exhibit potential overexpression or underexpression in the context of a disease state, relative to a control group that remains unaffected [18]. Dysregulation of gene expression, whether it be overexpression or underexpression, can lead to disruptions in various biological pathways such as metabolic and immune pathways, which eventually result in the development of diseases [19]. ...
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... The post hoc nature of clustering many samples across linked omic datasets limits inferential power (Chauvel et al 2019). Concatenating disparate omic datasets together is biased due to the varied heterogeneity of the data types, their relative numbers of features, and their differing sources of error per omic type (Boulesteix et al 2017). Better approaches use matrix factorisation of the omic data together including aligned features (molecules), typically after transformation and/or scaling relevant to the technology (Figure 1). ...
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