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George C. Tseng
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2020 – today
- 2024
- [j33]Wenjia Wang, Yusi Fang, Chung Chang, George C. Tseng:
Accurate and Ultra-Efficient p -Value Calculation for Higher Criticism Tests. J. Comput. Graph. Stat. 33(2): 463-476 (2024) - [j32]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) - 2023
- [j31]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) - 2022
- [j30]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): 4078-4087 (2022) - 2021
- [j29]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) - [j28]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) - [j27]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): 785-792 (2021) - 2020
- [j26]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): 524-532 (2020)
2010 – 2019
- 2019
- [j25]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): 1597-1599 (2019) - [i1]Tanbin Rahman, Yujia Li, Tianzhou Ma, Lu Tang, George C. Tseng:
A sparse negative binomial mixture model for clustering RNA-seq count data. CoRR abs/1912.02399 (2019) - 2018
- [j24]Sunghwan Kim, Dongwan D. Kang, Zhiguang Huo, Yongseok Park, George C. Tseng:
Meta-analytic principal component analysis in integrative omics application. Bioinform. 34(8): 1321-1328 (2018) - [j23]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): 3801-3808 (2018) - 2017
- [j22]Lin Wang, Silvia Liu, Ying Ding, Shin-sheng Yuan, Yen-Yi Ho, George C. Tseng:
Meta-analytic framework for liquid association. Bioinform. 33(14): 2140-2147 (2017) - [j21]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): 647-662 (2017) - 2016
- [j20]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): 1966-1973 (2016) - [j19]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: 37 (2016) - 2015
- [j18]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): S2 (2015) - 2014
- [j17]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): 3152-3158 (2014) - [j16]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: 346 (2014) - 2013
- [j15]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: 368 (2013) - 2012
- [j14]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): 2534-2536 (2012) - [j13]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: 52 (2012) - 2011
- [j12]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): 78-86 (2011) - 2010
- [j11]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): 333-340 (2010) - [j10]Kui Shen, George C. Tseng:
Meta-analysis for pathway enrichment analysis when combining multiple genomic studies. Bioinform. 26(10): 1316-1323 (2010) - [j9]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): 2586-2593 (2010) - [j8]George C. Tseng:
Quantile map: Simultaneous visualization of patterns in many distributions with application to tandem mass spectrometry. Comput. Stat. Data Anal. 54(4): 1124-1137 (2010)
2000 – 2009
- 2009
- [j7]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): 1655-1661 (2009) - 2008
- [j6]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): 2665-2671 (2008) - [j5]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) - [j4]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) - 2007
- [j3]George C. Tseng:
Penalized and weighted K-means for clustering with scattered objects and prior information in high-throughput biological data. Bioinform. 23(17): 2247-2255 (2007) - 2006
- [j2]Anbupalam Thalamuthu, Indranil Mukhopadhyay, Xiaojing Zheng, George C. Tseng:
Evaluation and comparison of gene clustering methods in microarray analysis. Bioinform. 22(19): 2405-2412 (2006) - 2005
- [j1]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: 309 (2005) - 2003
- [c1]George C. Tseng, Wing Hung Wong:
A Method for Tight Clustering: with Application to Microarray. CSB 2003: 396-397
Coauthor Index
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