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Chiang Ching Huang

Researcher at University of Wisconsin–Milwaukee

Publications -  56
Citations -  8377

Chiang Ching Huang is an academic researcher from University of Wisconsin–Milwaukee. The author has contributed to research in topics: Gene expression profiling & Cancer. The author has an hindex of 27, co-authored 51 publications receiving 7543 citations. Previous affiliations of Chiang Ching Huang include Northwestern University & Shiga University of Medical Science.

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Gene-expression profiles predict survival of patients with lung adenocarcinoma

TL;DR: The identification of a set of genes that predict survival in early-stage lung adenocarcinoma allows delineation of a high-risk group that may benefit from adjuvant therapy.
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Comparison of Beta-value and M-value methods for quantifying methylation levels by microarray analysis

TL;DR: The Beta-value has a more intuitive biological interpretation, but the M-value is more statistically valid for the differential analysis of methylation levels, and is recommended for conducting differential methylation analysis and including the beta-value statistics when reporting the results to investigators.
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Discordant Protein and mRNA Expression in Lung Adenocarcinomas

TL;DR: The relationship between gene expression measured at the mRNA level and the corresponding protein level is not well characterized in human cancer, and it is shown that only a subset of the proteins exhibited a significant correlation with mRNA abundance.
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Phenomapping for novel classification of heart failure with preserved ejection fraction.

TL;DR: In this article, the authors evaluated whether unbiased clustering analysis using dense phenotypic data (phenomapping) could identify phenotypically distinct heart failure with preserved ejection fraction (HFpEF) categories.
Journal Article

Proteomic Analysis of Lung Adenocarcinoma: Identification of a Highly Expressed Set of Proteins in Tumors

TL;DR: Two-dimensional PAGE and mass spectrometry can identify proteins showing increased expression in lung adenocarcinoma and the association of specific isoforms of these proteins with clinical variables and understanding the regulation of their expression will aid in determined their potential use as biomarkers in this cancer.