George C. Tseng - Citegraph

Author Info

Name	Affiliation	Papers
GEORGE C. TSENG	Univ Pittsburgh, Dept Biostat, Pittsburgh, PA 15261 USA	31
Collaborators	Citations	PageRank
114	335	23.39
Referers	Referees	References
963	657	200

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100963

Publications (31 rows)

Collaborators (100 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
High-dimension to high-dimension screening for detecting genome-wide epigenetic and noncoding RNA regulators of gene expression	0	0.34	2022
The microRNA target site landscape is a novel molecular feature associating alternative polyadenylation with immune evasion activity in breast cancer	0	0.34	2021
Unpaired Data Empowers Association Tests	0	0.34	2021
Likelihood-based tests for detecting circadian rhythmicity and differential circadian patterns in transcriptomic applications	0	0.34	2021
P-value evaluation, variability index and biomarker categorization for adaptively weighted Fisher’s meta-analysis method in omics applications	1	0.36	2020
MetaOmics: Analysis Pipeline and Browser-based Software Suite for Transcriptomic Meta-Analysis.	0	0.34	2019
Bayesian integrative model for multi-omics data with missingness.	0	0.34	2018
Meta-analytic Principal Component Analysis in Integrative Omics Application.	0	0.34	2018
Meta-analytic framework for liquid association.	1	0.37	2017
A Joint Bayesian Model for Integrating Microarray and RNA Sequencing Transcriptomic Data.	0	0.34	2017
MetaKTSP: a meta-analytic top scoring pair method for robust cross-study validation of omics prediction analysis.	3	0.51	2016
A computational method for genotype calling in family-based sequencing data.	0	0.34	2016
Discovering monotonic stemness marker genes from time-series stem cell microarray data.	2	0.38	2015
Bias correction for selecting the minimal-error classifier from many machine learning models.	6	0.66	2014
Missing value imputation in high-dimensional phenomic data: imputable or not, and how?	15	0.77	2014
Meta-analysis methods for combining multiple expression profiles: comparisons, statistical characterization and an application guideline.	8	0.54	2013
Detecting disease-associated genes with confounding variable adjustment and the impact on genomic meta-analysis: with application to major depressive disorder.	9	0.57	2012
An R package suite for microarray meta-analysis in quality control, differentially expressed gene analysis and pathway enrichment detection.	6	0.61	2012
Biological impact of missing-value imputation on downstream analyses of gene expression profiles.	13	0.78	2011
Quantile map: Simultaneous visualization of patterns in many distributions with application to tandem mass spectrometry	0	0.34	2010
Biomarker detection in the integration of multiple multi-class genomic studies.	8	0.91	2010
Module-based prediction approach for robust inter-study predictions in microarray data.	2	0.41	2010
Meta-analysis for pathway enrichment analysis when combining multiple genomic studies.	17	1.09	2010
Ratio adjustment and calibration scheme for gene-wise normalization to enhance microarray inter-study prediction.	3	0.43	2009
Smarter clustering methods for SNP genotype calling.	2	0.72	2008
Discovery of dominant and dormant genes from expression data using a novel generalization of SNR for multi-class problems.	33	0.65	2008
Which missing value imputation method to use in expression profiles: a comparative study and two selection schemes.	67	2.01	2008
Penalized and weighted K-means for clustering with scattered objects and prior information in high-throughput biological data	29	1.58	2007
Evaluation and comparison of gene clustering methods in microarray analysis.	80	5.15	2006
Comparison of normalization methods for CodeLink Bioarray data.	28	1.08	2005
A Method for Tight Clustering: with Application to Microarray	2	0.43	2003