George C. Tseng
According to our database1, George C. Tseng
Legend:Book In proceedings Article PhD thesis Other
A Joint Bayesian Model for Integrating Microarray and RNA Sequencing Transcriptomic Data.
Journal of Computational Biology, 2017
Meta-analytic framework for liquid association.
A computational method for genotype calling in family-based sequencing data.
BMC Bioinformatics, 2016
MetaKTSP: a meta-analytic top scoring pair method for robust cross-study validation of omics prediction analysis.
Discovering monotonic stemness marker genes from time-series stem cell microarray data.
BMC Genomics, 2015
Missing value imputation in high-dimensional phenomic data: imputable or not, and how?
BMC Bioinformatics, 2014
Bias correction for selecting the minimal-error classifier from many machine learning models.
Meta-analysis methods for combining multiple expression profiles: comparisons, statistical characterization and an application guideline.
BMC Bioinformatics, 2013
Detecting disease-associated genes with confounding variable adjustment and the impact on genomic meta-analysis: With application to major depressive disorder.
BMC Bioinformatics, 2012
An R package suite for microarray meta-analysis in quality control, differentially expressed gene analysis and pathway enrichment detection.
Biological impact of missing-value imputation on downstream analyses of gene expression profiles.
Quantile map: Simultaneous visualization of patterns in many distributions with application to tandem mass spectrometry.
Computational Statistics & Data Analysis, 2010
Meta-analysis for pathway enrichment analysis when combining multiple genomic studies.
Module-based prediction approach for robust inter-study predictions in microarray data.
Biomarker detection in the integration of multiple multi-class genomic studies.
Ratio adjustment and calibration scheme for gene-wise normalization to enhance microarray inter-study prediction.
Discovery of dominant and dormant genes from expression data using a novel generalization of SNR for multi-class problems.
BMC Bioinformatics, 2008
Which missing value imputation method to use in expression profiles: a comparative study and two selection schemes.
BMC Bioinformatics, 2008
Smarter clustering methods for SNP genotype calling.
Penalized and weighted K-means for clustering with scattered objects and prior information in high-throughput biological data.
Evaluation and comparison of gene clustering methods in microarray analysis.
Comparison of normalization methods for CodeLink Bioarray data.
BMC Bioinformatics, 2005
A Method for Tight Clustering: with Application to Microarray.
Proceedings of the 2nd IEEE Computer Society Bioinformatics Conference, 2003