George C. Tseng

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 16

Top Topics

Machine Learning Models

Top Venues

Briefings Bioinform.

Publications

Wenjia Wang, Yusi Fang, Chung Chang, George C. Tseng
-Value Calculation for Higher Criticism Tests. J. Comput. Graph. Stat. 33 (2) (2024)
Jian Zou, Osama Shah, Yu-Chiao Chiu, Tianzhou Ma, Jennifer M. Atkinson, Steffi Oesterreich, Adrian V. Lee, George C. Tseng
Systems approach for congruence and selection of cancer models towards precision medicine. PLoS Comput. Biol. 20 (1) (2024)
Xiangning Xue, Wei Zong, Zhiguang Huo, Kyle D. Ketchesin, Madeline R. Scott, Kaitlyn A Petersen, Ryan W. Logan, Marianne L. Seney, Colleen A. Mcclung, George C. Tseng
DiffCircaPipeline: a framework for multifaceted characterization of differential rhythmicity. Bioinform. 39 (1) (2023)
Hongjie Ke, Zhao Ren, Jianfei Qi, Shuo Chen, George C. Tseng, Zhenyao Ye, Tianzhou Ma
High-dimension to high-dimension screening for detecting genome-wide epigenetic and noncoding RNA regulators of gene expression. Bioinform. 38 (17) (2022)
Haocheng Ding, Lingsong Meng, Andrew C. Liu, Michelle L. Gumz, Andrew J. Bryant, Colleen A. Mcclung, George C. Tseng, Karyn A. Esser, Zhiguang Huo
Likelihood-based tests for detecting circadian rhythmicity and differential circadian patterns in transcriptomic applications. Briefings Bioinform. 22 (6) (2021)
Mingming Gong, Peng Liu, Frank C. Sciurba, Petar Stojanov, Dacheng Tao, George C. Tseng, Kun Zhang, Kayhan Batmanghelich
Unpaired data empowers association tests. Bioinform. 37 (6) (2021)
Soyeon Kim, Yulong Bai, Zhenjiang Fan, Brenda Diergaarde, George C. Tseng, Hyun Jung Park
The microRNA target site landscape is a novel molecular feature associating alternative polyadenylation with immune evasion activity in breast cancer. Briefings Bioinform. 22 (3) (2021)
Zhiguang Huo, Shaowu Tang, Yongseok Park, George C. Tseng
P-value evaluation, variability index and biomarker categorization for adaptively weighted Fisher's meta-analysis method in omics applications. Bioinform. 36 (2) (2020)
Tanbin Rahman, Yujia Li, Tianzhou Ma, Lu Tang, George C. Tseng
A sparse negative binomial mixture model for clustering RNA-seq count data. CoRR (2019)
Tianzhou Ma, Zhiguang Huo, Anche Kuo, Li Zhu, Zhou Fang, Xiangrui Zeng, Chien-Wei Lin, Silvia Liu, Lin Wang, Peng Liu, Tanbin Rahman, Lun-Ching Chang, Sunghwan Kim, Jia Li, Yongseok Park, Chi Song, Steffi Oesterreich, Etienne Sibille, George C. Tseng
MetaOmics: analysis pipeline and browser-based software suite for transcriptomic meta-analysis. Bioinform. 35 (9) (2019)
Sunghwan Kim, Dongwan D. Kang, Zhiguang Huo, Yongseok Park, George C. Tseng
Meta-analytic principal component analysis in integrative omics application. Bioinform. 34 (8) (2018)
Zhou Fang, Tianzhou Ma, Gong Tang, Li Zhu, Qi Yan, Ting Wang, Juan C. Celedón, Wei Chen, George C. Tseng
Bayesian integrative model for multi-omics data with missingness. Bioinform. 34 (22) (2018)
Tianzhou Ma, Faming Liang, Steffi Oesterreich, George C. Tseng
A Joint Bayesian Model for Integrating Microarray and RNA Sequencing Transcriptomic Data. J. Comput. Biol. 24 (7) (2017)
Lin Wang, Silvia Liu, Ying Ding, Shin-sheng Yuan, Yen-Yi Ho, George C. Tseng
Meta-analytic framework for liquid association. Bioinform. 33 (14) (2017)
Sunghwan Kim, Chien-Wei Lin, George C. Tseng
MetaKTSP: a meta-analytic top scoring pair method for robust cross-study validation of omics prediction analysis. Bioinform. 32 (13) (2016)
Lun-Ching Chang, Bingshan Li, Zhou Fang, Scott Vrieze, Matthew McGue, William G. Iacono, George C. Tseng, Wei Chen
A computational method for genotype calling in family-based sequencing data. BMC Bioinform. 17 (2016)
Hsei-Wei Wang, Hsing-Jen Sun, Ting-Yu Chang, Hung-Hao Lo, Wei-Chung Cheng, George C. Tseng, Chin-Teng Lin, Shing-Jyh Chang, Nikhil R. Pal, I-Fang Chung
Discovering monotonic stemness marker genes from time-series stem cell microarray data. BMC Genom. 16 (S-2) (2015)
Ying Ding, Shaowu Tang, Serena G. Liao, Jia Jia, Steffi Oesterreich, Yan Lin, George C. Tseng
Bias correction for selecting the minimal-error classifier from many machine learning models. Bioinform. 30 (22) (2014)
Serena G. Liao, Yan Lin, Dongwan D. Kang, Divay Chandra, Jessica Bon, Naftali Kaminski, Frank C. Sciurba, George C. Tseng
Missing value imputation in high-dimensional phenomic data: imputable or not, and how? BMC Bioinform. 15 (2014)
Lun-Ching Chang, Hui-Min Lin, Etienne Sibille, George C. Tseng
Meta-analysis methods for combining multiple expression profiles: comparisons, statistical characterization and an application guideline. BMC Bioinform. 14 (2013)
Xingbin Wang, Dongwan D. Kang, Kui Shen, Chi Song, Shuya Lu, Lun-Ching Chang, Serena G. Liao, Zhiguang Huo, Shaowu Tang, Ying Ding, Naftali Kaminski, Etienne Sibille, Yan Lin, Jia Li, George C. Tseng
An R package suite for microarray meta-analysis in quality control, differentially expressed gene analysis and pathway enrichment detection. Bioinform. 28 (19) (2012)
Xingbin Wang, Yan Lin, Chi Song, Etienne Sibille, George C. Tseng
Detecting disease-associated genes with confounding variable adjustment and the impact on genomic meta-analysis: With application to major depressive disorder. BMC Bioinform. 13 (2012)
Sunghee Oh, Dongwan D. Kang, Guy N. Brock, George C. Tseng
Biological impact of missing-value imputation on downstream analyses of gene expression profiles. Bioinform. 27 (1) (2011)
Kui Shen, George C. Tseng
Meta-analysis for pathway enrichment analysis when combining multiple genomic studies. Bioinform. 26 (10) (2010)
Zhibao Mi, Kui Shen, Nan Song, Chunrong Cheng, Chi Song, Naftali Kaminski, George C. Tseng
Module-based prediction approach for robust inter-study predictions in microarray data. Bioinform. 26 (20) (2010)
George C. Tseng
Quantile map: Simultaneous visualization of patterns in many distributions with application to tandem mass spectrometry. Comput. Stat. Data Anal. 54 (4) (2010)
Shuya Lu, Jia Li, Chi Song, Kui Shen, George C. Tseng
Biomarker detection in the integration of multiple multi-class genomic studies. Bioinform. 26 (3) (2010)
Chunrong Cheng, Kui Shen, Chi Song, Jianhua Luo, George C. Tseng
Ratio adjustment and calibration scheme for gene-wise normalization to enhance microarray inter-study prediction. Bioinform. 25 (13) (2009)
Yu-Shuen Tsai, Chin-Teng Lin, George C. Tseng, I-Fang Chung, Nikhil R. Pal
Discovery of dominant and dormant genes from expression data using a novel generalization of SNR for multi-class problems. BMC Bioinform. 9 (2008)
Yan Lin, George C. Tseng, Soo Yeon Cheong, Lora J. H. Bean, Stephanie L. Sherman, Eleanor Feingold
Smarter clustering methods for SNP genotype calling. Bioinform. 24 (23) (2008)
Guy N. Brock, John R. Shaffer, Richard E. Blakesley, Meredith J. Lotz, George C. Tseng
Which missing value imputation method to use in expression profiles: a comparative study and two selection schemes. BMC Bioinform. 9 (2008)
George C. Tseng
-means for clustering with scattered objects and prior information in high-throughput biological data. Bioinform. 23 (17) (2007)
Anbupalam Thalamuthu, Indranil Mukhopadhyay, Xiaojing Zheng, George C. Tseng
Evaluation and comparison of gene clustering methods in microarray analysis. Bioinform. 22 (19) (2006)
Wei Wu, Nilesh Dave, George C. Tseng, Thomas Richards, Eric P. Xing, Naftali Kaminski
Comparison of normalization methods for CodeLink Bioarray data. BMC Bioinform. 6 (2005)
George C. Tseng, Wing Hung Wong
A Method for Tight Clustering: with Application to Microarray. CSB (2003)