Class-imbalanced classifiers for high-dimensional data
WJ Lin, JJ Chen - Briefings in bioinformatics, 2013 - academic.oup.com
A class-imbalanced classifier is a decision rule to predict the class membership of new
samples from an available data set where the class sizes differ considerably. When the class …
samples from an available data set where the class sizes differ considerably. When the class …
Vitamin D, immune regulation, the microbiota, and inflammatory bowel disease
…, S Bora, J Chen, J James - Experimental biology …, 2014 - journals.sagepub.com
The inflammatory bowel diseases are complex diseases caused by environmental,
immunological, and genetic factors. Vitamin D status is low in patients with inflammatory bowel …
immunological, and genetic factors. Vitamin D status is low in patients with inflammatory bowel …
Use of data mining at the Food and Drug Administration
…, K Burkhart, G Steven Condrey, JJ Chen… - Journal of the …, 2016 - academic.oup.com
Objectives This article summarizes past and current data mining activities at the United
States Food and Drug Administration (FDA). Target audience We address data miners in all …
States Food and Drug Administration (FDA). Target audience We address data miners in all …
The MicroArray Quality Control (MAQC) project shows inter-and intraplatform reproducibility of gene expression measurements.
…, XM Cao, TA Cebula, JJ Chen, J Cheng… - Nature …, 2006 - europepmc.org
Over the last decade, the introduction of microarray technology has had a profound impact
on gene expression research. The publication of studies with dissimilar or altogether …
on gene expression research. The publication of studies with dissimilar or altogether …
[HTML][HTML] Multi-omics analysis identifies therapeutic vulnerabilities in triple-negative breast cancer subtypes
Triple-negative breast cancer (TNBC) is a collection of biologically diverse cancers characterized
by distinct transcriptional patterns, biology, and immune composition. TNBCs subtypes …
by distinct transcriptional patterns, biology, and immune composition. TNBCs subtypes …
[HTML][HTML] Cross-platform comparability of microarray technology: intra-platform consistency and appropriate data analysis procedures are essential
…, TA Patterson, H Hong, Q Xie, RG Perkins, JJ Chen… - BMC …, 2005 - Springer
Background The acceptance of microarray technology in regulatory decision-making is
being challenged by the existence of various platforms and data analysis methods. A recent …
being challenged by the existence of various platforms and data analysis methods. A recent …
[HTML][HTML] Reproducibility of microarray data: a further analysis of microarray quality control (MAQC) data
JJ Chen, HM Hsueh, RR Delongchamp, CJ Lin… - BMC …, 2007 - Springer
Background Many researchers are concerned with the comparability and reliability of
microarray gene expression data. Recent completion of the MicroArray Quality Control (MAQC) …
microarray gene expression data. Recent completion of the MicroArray Quality Control (MAQC) …
Estimation of false discovery rates in multiple testing: application to gene microarray data
CA Tsai, H Hsueh, JJ Chen - Biometrics, 2003 - academic.oup.com
Testing for significance with gene expression data from DNA microarray experiments involves
simultaneous comparisons of hundreds or thousands of genes. If R denotes the number of …
simultaneous comparisons of hundreds or thousands of genes. If R denotes the number of …
Differential follicle counts as a screen for chemically induced ovarian toxicity in mice: results from continuous breeding bioassays
B Bolon, TJ Bucci, AR Warbritton, JJ Chen… - … and applied toxicology, 1997 - Elsevier
Ovaries from National Toxicology Program Reproductive Assessment by Continuous Breeding
(RACB) bioassays were used to directly compare differential ovarian follicle counts and …
(RACB) bioassays were used to directly compare differential ovarian follicle counts and …
Analysis of variance components in gene expression data
JJ Chen, RR Delongchamp, CA Tsai, H Hsueh… - …, 2004 - academic.oup.com
Motivation: A microarray experiment is a multi-step process, and each step is a potential
source of variation. There are two major sources of variation: biological variation and technical …
source of variation. There are two major sources of variation: biological variation and technical …