Search ResultsElectronic Resources 
by
Nguyen, Phan, author. (orcid)0000-0001-8002-2979
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Methods for Inferring Gene Regulatory Networks from Time Series Expression Data / Nguyen, Phan
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Chiang, Colby, author. (orcid)0000-0002-4113-6065
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The Impact of Structural Variation on Human Gene Expression / Chiang, Colby, author. (orcid)0000
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Naderi Yeganeh, Pourya, author.
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Network-Based Pathway Enrichment Analysis for Biological Inference of High-Throughput Gene
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Restuhadi, Fajar, author.
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Yeast Transcriptome Data Mining: Application of Cluster Analysis for Studying Gene Expression Data /
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Mohaimani, Aurash, author. (orcid)0000-0002-9286-8071
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GEORAC: An RNA-Seq Atlas Constructor for the Gene Expression Omnibus / Mohaimani, Aurash, author
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Tien, Matthew, author. (orcid)0000-0002-0006-9644
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Gene regulation underlies all functional outputs of a cell. Measuring changes in gene expression
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Varn, Frederick S., author.
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methodology for inferring immune infiltration levels of distinct cellular subsets from patient gene expression
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Fu, Kai, author.
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regulation of gene expression.
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Murphy, Julianne, author.
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direct associations between miRNA CNV, miRNA gene expression, target gene expression, and phenotype.
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Causey, Jason L., author.
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Biological, biomedical, and radiological data tend to be large, complex, and noisy. Gene expression
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Pokoo, Robert, author.
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their target genes at the posttranscriptional level. The miRNA-mediated gene regulation has emerged as
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Hughitt, Vincent Keith, author. (orcid)0000-0003-0787-9559
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-pathogen interactions. While popular techniques such as differential expression and gene set enrichment analysis can
by
Shu, Le, author.
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-wide datasets of total cholesterol and fasting glucose. I then applied Mergeomics to identify the shared gene
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Deeter, Anthony, author.
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, processes, and discretizes RNA-Seq gene expression data. This module was used and tested to process lung
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Hixson, Kim Kathleen, author. (orcid)0000-0003-3915-7040
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ADT knock-outs (KOs) and over-expression (OE) lines. By using both KO and OE lines we could provide
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Oreper, Daniel G., author.
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analysis, we detected dozens of POE/diet-by-POE on gene expression, a handful of similar effects on
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Lin, Nan, author.
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following two types of data effectively: 1. the time-course data such as the time-course gene expression
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Harding, Taylor Stiver, author.
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chemosensitivity profile in response to treatment with the four PIs as single-agents. Through gene expression
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Zhang, Ruoyu, author. (orcid)0000-0001-5672-5527
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observed heteroplasmy dynamics could significantly affect certain gene expression levels.
by
Hsiao, Yun-Hua, author.
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relatively well studied, but their impact on co- and post-transcriptional control of gene expression is less
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Cao, Xiaolong, author.
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associated genes, and analyzed gene expression in different libraries. We found that most genes were
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Mbewe-Campbell, Nzali Violet, author.
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calculating q-values for pairwise differential gene expression; chi-square tests to determine independence
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Wang, Guanqun, author.
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(diniconazole). Both exogenous ABA and diniconazole also inhibited the expression of the OsTPP1 gene in seeds
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Liu, Wanlu, author.
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gene expression. In order to develop site-specific and efficient tools for DNA methylation targeting
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Zhang, Jibin, author.
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adipogenesis based on analyses of Gene Expression Omnibus (GEO) DataSets (GDSs) in the website of the National

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