Search Results - "LIAO, Serena G"

Whole-Genome Methylation Sequencing Reveals Distinct Impact of Differential Methylations on Gene Transcription in Prostate Cancer by Yu, Yan P, Ding, Ying, Chen, Rui, Liao, Serena G, Ren, Bao-Guo, Michalopoulos, Amantha, Michalopoulos, George, Nelson, Joel, Tseng, George C, Luo, Jian-Hua

“…DNA methylation is one of the most important epigenetic mechanisms in regulating gene expression. Genome hypermethylation has been proposed as a critical…”
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Missing value imputation in high-dimensional phenomic data: imputable or not, and how? by Liao, Serena G, Lin, Yan, Kang, Dongwan D, Chandra, Divay, Bon, Jessica, Kaminski, Naftali, Sciurba, Frank C, Tseng, George C

“…In modern biomedical research of complex diseases, a large number of demographic and clinical variables, herein called phenomic data, are often collected and…”
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An R package suite for microarray meta-analysis in quality control, differentially expressed gene analysis and pathway enrichment detection by XINGBIN WANG, KANG, Dongwan D, KAMINSKI, Naftali, SIBILLE, Etienne, YAN LIN, JIA LI, TSENG, George C, KUI SHEN, CHI SONG, SHUYA LU, CHANG, Lun-Ching, LIAO, Serena G, ZHIGUANG HUO, SHAOWU TANG, YING DING

“…With the rapid advances and prevalence of high-throughput genomic technologies, integrating information of multiple relevant genomic studies has brought new…”
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Bias correction for selecting the minimal-error classifier from many machine learning models by Ding, Ying, Tang, Shaowu, Liao, Serena G, Jia, Jia, Oesterreich, Steffi, Lin, Yan, Tseng, George C

“…Supervised machine learning is commonly applied in genomic research to construct a classifier from the training data that is generalizable to predict…”
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RNASeqDesign: A framework for RNA-Seq genome-wide power calculation and study design issues by Lin, Chien-Wei, Liao, Serena G, Liu, Peng, Park, Yong Seok, Lee, Mei-Ling Ting, Tseng, George C

“…Massively parallel sequencing (a.k.a. next-generation sequencing, NGS) technology has emerged as a powerful tool in characterizing genomic profiles. Among many…”
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RNASeqDesign: a framework for ribonucleic acid sequencing genomewide power calculation and study design issues by Lin, Chien-Wei, Liao, Serena G., Liu, Peng, Lee, Mei-Ling Ting, Park, Yong Seok, Tseng, George C.

“…Massively parallel sequencing (also known as next generation sequencing (NGS)) technology has emerged as a powerful tool in characterizing genomic profiles…”
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Targeted DNA Methylation Screen in the Mouse Mammary Genome Reveals a Parity-Induced Hypermethylation of Igf1r That Persists Long after Parturition by Katz, Tiffany A, Liao, Serena G, Palmieri, Vincent J, Dearth, Robert K, Pathiraja, Thushangi N, Huo, Zhiguang, Shaw, Patricia, Small, Sarah, Davidson, Nancy E, Peters, David G, Tseng, George C, Oesterreich, Steffi, Lee, Adrian V

“…The most effective natural prevention against breast cancer is an early first full-term pregnancy. Understanding how the protective effect is elicited will…”
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Abstract P5-11-05: Pregnancy-induced epigenetic changes in the insulin-like growth factor signaling pathway by Katz, Tiffany A, Liao, Serena G, Pathiraja, Thushangi, Dearth, Robert K, Tseng, George C, Oesterreich, Steffi, Lee, Adrian V

“…Abstract Prevention will prove to be the single most effective way of eradicating breast cancer. Currently, the most effective natural breast cancer prevention…”
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Targeted DNA methylation screen in the mouse mammary genome reveals a parity-induced hypermethylation of IGF1R which persists long after parturition by Katz, Tiffany A., Liao, Serena G., Palmieri, Vincent J., Dearth, Robert K., Pathiraja, Thushangi N., Huo, Zhiguang, Shaw, Patricia, Small, Sarah, Davidson, Nancy E., Peters, David G., Tseng, George C., Oesterreich, Steffi, Lee, Adrian V.

“…The most effective natural prevention against breast cancer is an early first full term pregnancy. Understanding how the protective effect is elicited will…”
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