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Yudi Pawitan
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2020 – today
- 2022
- [j32]Lu Pan, Huy Q. Dinh, Yudi Pawitan, Trung-Nghia Vu
:
Isoform-level quantification for single-cell RNA sequencing. Bioinform. 38(5): 1287-1294 (2022) - 2021
- [j31]Dat Thanh Nguyen
Circall: fast and accurate methodology for discovery of circular RNAs from paired-end RNA-sequencing data. BMC Bioinform. 22(1): 495 (2021) - 2020
- [j30]Wenjiang Deng
Alternating EM algorithm for a bilinear model in isoform quantification from RNA-seq data. Bioinform. 36(3): 805-812 (2020)
2010 – 2019
- 2019
- [j29]Trung-Nghia Vu
Cell-level somatic mutation detection from single-cell RNA sequencing. Bioinform. 35(22): 4679-4687 (2019) - 2018
- [j28]Trung-Nghia Vu
Isoform-level gene expression patterns in single-cell RNA-sequencing data. Bioinform. 34(14): 2392-2400 (2018) - [j27]Sangin Lee
Sparse pathway-based prediction models for high-throughput molecular data. Comput. Stat. Data Anal. 126: 125-135 (2018) - 2016
- [j26]Trung-Nghia Vu
Beta-Poisson model for single-cell RNA-seq data analyses. Bioinform. 32(14): 2128-2135 (2016) - 2015
- [j25]Andrea Ganna
Rediscovery rate estimation for assessing the validation of significant findings in high-throughput studies. Briefings Bioinform. 16(4): 563-575 (2015) - [j24]Chen Suo, Olga Hrydziuszko
Integration of somatic mutation, expression and functional data reveals potential driver genes predictive of breast cancer survival. Bioinform. 31(16): 2607-2613 (2015) - [j23]Sangin Lee
A random-effect model approach for group variable selection. Comput. Stat. Data Anal. 89: 147-157 (2015) - 2014
- [j22]Chen Suo, Stefano Calza
Joint estimation of isoform expression and isoform-specific read distribution using multisample RNA-Seq data. Bioinform. 30(4): 506-513 (2014) - 2013
- [j21]Arief Gusnanto, Alexander Ploner
Partial least squares and logistic regression random-effects estimates for gene selection in supervised classification of gene expression data. J. Biomed. Informatics 46(4): 697-709 (2013) - 2012
- [j20]Arief Gusnanto, Henry M. Wood
Correcting for cancer genome size and tumour cell content enables better estimation of copy number alterations from next-generation sequence data. Bioinform. 28(1): 40-47 (2012) - [j19]Teo Shu Mei
Statistical challenges associated with detecting copy number variations with next-generation sequencing. Bioinform. 28(21): 2711-2718 (2012) - [j18]Andrey Alexeyenko
Network enrichment analysis: extension of gene-set enrichment analysis to gene networks. BMC Bioinform. 13: 226 (2012) - 2011
- [j17]Teo Shu Mei
Multi-platform segmentation for joint detection of copy number variants. Bioinform. 27(11): 1555-1561 (2011) - 2010
- [j16]Teo Shu Mei
Identification of recurrent regions of copy-number variants across multiple individuals. BMC Bioinform. 11: 147 (2010) - [j15]Donghwan Lee
Super-sparse principal component analyses for high-throughput genomic data. BMC Bioinform. 11: 296 (2010)
2000 – 2009
- 2009
- [j14]Chuen Seng Tan
Correlating gene and protein expression data using Correlated Factor Analysis. BMC Bioinform. 10: 272 (2009) - 2008
- [j13]Meaza Demissie, Barbara Mascialino
Unequal group variances in microarray data analyses. Bioinform. 24(9): 1168-1174 (2008) - [j12]Stefano Calza
Normalization of oligonucleotide arrays based on the least-variant set of genes. BMC Bioinform. 9 (2008) - 2007
- [j11]Jian Huang, Arief Gusnanto, Kathleen O'Sullivan, Johan Staaf
Robust smooth segmentation approach for array CGH data analysis. Bioinform. 23(18): 2463-2469 (2007) - [j10]Elena Perelman, Alexander Ploner
Detecting differential expression in microarray data: comparison of optimal procedures. BMC Bioinform. 8 (2007) - 2006
- [j9]Alexander Ploner
Multidimensional local false discovery rate for microarray studies. Bioinform. 22(5): 556-565 (2006) - [j8]Chuen Seng Tan
Finding regions of significance in SELDI measurements for identifying protein biomarkers. Bioinform. 22(12): 1515-1523 (2006) - [j7]Yudi Pawitan, Stefano Calza
Estimation of false discovery proportion under general dependence. Bioinform. 22(24): 3025-3031 (2006) - 2005
- [j6]Yudi Pawitan, Stefan Michiels
False discovery rate, sensitivity and sample size for microarray studies. Bioinform. 21(13): 3017-3024 (2005) - [j5]Yudi Pawitan, Karuturi R. Krishna Murthy, Stefan Michiels
Bias in the estimation of false discovery rate in microarray studies. Bioinform. 21(20): 3865-3872 (2005) - [j4]Alexander Ploner
Correlation test to assess low-level processing of high-density oligonucleotide microarray data. BMC Bioinform. 6: 80 (2005) - [j3]Yudi Pawitan, Valentino Bettinardi, M. Teras:
Non-Gaussian smoothing of low-count transmission scans for PET whole-body studies. IEEE Trans. Medical Imaging 24(1): 122-129 (2005) - [c1]Andreas Quandt, Alexander Ploner, Chuen Seng Tan
ProSpect: An R Package for Analyzing SELDI Measurements Identifying Protein Biomarkers. CompLife 2005: 140-150
1990 – 1999
- 1993
- [j2]Yudi Pawitan, Finbarr O'Sullivan:
Data-dependent bandwidth selection for emission computed tomography reconstruction. IEEE Trans. Medical Imaging 12(2): 167-172 (1993) - [j1]Finbarr O'Sullivan, Yudianto Pawitan, David R. Haynor:
Reducing negativity artifacts in emission tomography: post-processing filtered backprojection solutions. IEEE Trans. Medical Imaging 12(4): 653-663 (1993)
Coauthor Index
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