| Year |
Citation |
Score |
| 2020 |
Su K, Wu Z, Wu H. Simulation, Power Evaluation, and Sample Size Recommendation for Single Cell RNA-seq. Bioinformatics (Oxford, England). PMID 32614380 DOI: 10.1093/Bioinformatics/Btaa607 |
0.327 |
|
| 2019 |
Wu Z, Yan J, Wang K, Liu X, Guo Y, Zhi D, Ruan J, Zhao Z. The International Conference on Intelligent Biology and Medicine (ICIBM) 2018: genomics with bigger data and wider applications. Bmc Genomics. 20: 80. PMID 30712512 DOI: 10.1186/S12864-018-5369-3 |
0.338 |
|
| 2018 |
Wang K, Liu X, Guo Y, Wu Z, Zhi D, Ruan J, Zhao Z. The International Conference on Intelligent Biology and Medicine (ICIBM) 2018: systems biology on diverse data types. Bmc Systems Biology. 12: 125. PMID 30577731 DOI: 10.1186/S12918-018-0648-9 |
0.334 |
|
| 2018 |
Wu Z, Zhang Y, Stitzel ML, Wu H. Two-phase differential expression analysis for single cell RNA-seq. Bioinformatics (Oxford, England). PMID 29688282 DOI: 10.1093/Bioinformatics/Bty329 |
0.347 |
|
| 2017 |
Li N, McCall MN, Wu Z. Establishing Informative Prior for Gene Expression Variance from Public Databases Statistics in Biosciences. 9: 160-177. DOI: 10.1007/S12561-016-9172-X |
0.357 |
|
| 2016 |
Mossman JA, Tross JG, Li N, Wu Z, Rand DM. Mitochondrial-Nuclear Interactions Mediate Sex-Specific Transcriptional Profiles in Drosophila. Genetics. PMID 27558138 DOI: 10.1534/Genetics.116.192328 |
0.302 |
|
| 2015 |
Wu H, Wang C, Wu Z. PROPER: comprehensive power evaluation for differential expression using RNA-seq. Bioinformatics (Oxford, England). 31: 233-41. PMID 25273110 DOI: 10.1093/Bioinformatics/Btu640 |
0.354 |
|
| 2013 |
Dunn CW, Luo X, Wu Z. Phylogenetic analysis of gene expression. Integrative and Comparative Biology. 53: 847-56. PMID 23748631 DOI: 10.1093/Icb/Ict068 |
0.36 |
|
| 2013 |
Wu H, Wang C, Wu Z. A new shrinkage estimator for dispersion improves differential expression detection in RNA-seq data. Biostatistics (Oxford, England). 14: 232-43. PMID 23001152 DOI: 10.1093/Biostatistics/Kxs033 |
0.372 |
|
| 2012 |
Hansen KD, Irizarry RA, Wu Z. Removing technical variability in RNA-seq data using conditional quantile normalization. Biostatistics (Oxford, England). 13: 204-16. PMID 22285995 DOI: 10.1093/Biostatistics/Kxr054 |
0.378 |
|
| 2011 |
Hansen KD, Wu Z, Irizarry RA, Leek JT. Sequencing technology does not eliminate biological variability. Nature Biotechnology. 29: 572-3. PMID 21747377 DOI: 10.1038/Nbt.1910 |
0.322 |
|
| 2011 |
Yegnasubramanian S, Wu Z, Haffner MC, Esopi D, Aryee MJ, Badrinath R, He TL, Morgan JD, Carvalho B, Zheng Q, De Marzo AM, Irizarry RA, Nelson WG. Chromosome-wide mapping of DNA methylation patterns in normal and malignant prostate cells reveals pervasive methylation of gene-associated and conserved intergenic sequences. Bmc Genomics. 12: 313. PMID 21669002 DOI: 10.1186/1471-2164-12-313 |
0.318 |
|
| 2010 |
Wu Z, Jenkins BD, Rynearson TA, Dyhrman ST, Saito MA, Mercier M, Whitney LP. Empirical bayes analysis of sequencing-based transcriptional profiling without replicates. Bmc Bioinformatics. 11: 564. PMID 21080965 DOI: 10.1186/1471-2105-11-564 |
0.358 |
|
| 2009 |
Wu Z. A review of statistical methods for preprocessing oligonucleotide microarrays. Statistical Methods in Medical Research. 18: 533-41. PMID 20048383 DOI: 10.1177/0962280209351924 |
0.338 |
|
| 2009 |
Sui Y, Zhao X, Speed TP, Wu Z. Background adjustment for DNA microarrays using a database of microarray experiments. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 16: 1501-15. PMID 19958080 DOI: 10.1089/Cmb.2009.0063 |
0.325 |
|
| 2007 |
Wu Z, Irizarry RA. A statistical framework for the analysis of microarray probe-level data The Annals of Applied Statistics. 1: 333-357. DOI: 10.1214/07-Aoas116 |
0.337 |
|
| 2005 |
Wu Z, Irizarry RA. Stochastic models inspired by hybridization theory for short oligonucleotide arrays. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 12: 882-93. PMID 16108723 DOI: 10.1089/Cmb.2005.12.882 |
0.33 |
|
| 2004 |
Cope LM, Irizarry RA, Jaffee HA, Wu Z, Speed TP. A benchmark for Affymetrix GeneChip expression measures. Bioinformatics (Oxford, England). 20: 323-31. PMID 14960458 DOI: 10.1093/Bioinformatics/Btg410 |
0.346 |
|
| 2004 |
Wu Z, Irizarry RA, Gentleman R, Martinez-Murillo F, Spencer F. A model-based background adjustment for oligonucleotide expression arrays Journal of the American Statistical Association. 99: 909-917. DOI: 10.1198/016214504000000683 |
0.366 |
|
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