| Global gene expression profiling of multiple myeloma, monoclonal gammopathy of undetermined significance, and normal bone marrow plasma cells F Zhan, J Hardin, B Kordsmeier, K Bumm, M Zheng, E Tian, R Sanderson, ... Blood, The Journal of the American Society of Hematology 99 (5), 1745-1757, 2002 | 814 | 2002 |
| A variance-stabilizing transformation for gene-expression microarray data B Durbin, J Hardin, D Hawkins, D Rocke Bioinformatics 18, 2002 | 598 | 2002 |
| Selecting between-sample RNA-Seq normalization methods from the perspective of their assumptions C Evans, J Hardin, DM Stoebel Briefings in bioinformatics 19 (5), 776-792, 2018 | 323 | 2018 |
| Outlier detection in the multiple cluster setting using the minimum covariance determinant estimator J Hardin, DM Rocke Computational Statistics & Data Analysis 44 (4), 625-638, 2004 | 292 | 2004 |
| Outlier detection in the multiple cluster setting using the minimum covariance determinant estimator J Hardin, DM Rocke Computational Statistics & Data Analysis 44 (4), 625-638, 2004 | 292 | 2004 |
| The distribution of robust distances J Hardin, DM Rocke Journal of Computational and Graphical Statistics 14 (4), 928-946, 2005 | 267 | 2005 |
| Data science in statistics curricula: Preparing students to “think with data” J Hardin, R Hoerl, NJ Horton, D Nolan, B Baumer, O Hall-Holt, P Murrell, ... The American Statistician 69 (4), 343-353, 2015 | 235 | 2015 |
| A robust measure of correlation between two genes on a microarray J Hardin, A Mitani, L Hicks, B VanKoten BMC bioinformatics 8, 1-13, 2007 | 103 | 2007 |
| Teaching the next generation of statistics students to “think with data”: Special issue on statistics and the undergraduate curriculum NJ Horton, JS Hardin The American Statistician 69 (4), 259-265, 2015 | 102 | 2015 |
| A method for generating realistic correlation matrices J Hardin, SR Garcia, D Golan The Annals of Applied Statistics, 1733-1762, 2013 | 101 | 2013 |
| Estimating phenotypic correlations: correcting for bias due to intraindividual variability SC Adolph, JS Hardin Functional Ecology, 178-184, 2007 | 89 | 2007 |
| Genome-wide transcriptional response to varying RpoS levels in Escherichia coli K-12 GT Wong, RP Bonocora, AN Schep, SM Beeler, AJ Lee Fong, LM Shull, ... Journal of bacteriology 199 (7), 10.1128/jb. 00755-16, 2017 | 88 | 2017 |
| Pathways Change in Expression During Replicative Aging in Saccharomyces cerevisiae G Yiu, A McCord, A Wise, R Jindal, J Hardee, A Kuo, MY Shimogawa, ... The Journals of Gerontology Series A: Biological Sciences and Medical …, 2008 | 59 | 2008 |
| Using github classroom to teach statistics J Fiksel, LR Jager, JS Hardin, MA Taub Journal of Statistics Education 27 (2), 110-119, 2019 | 49 | 2019 |
| A note on oligonucleotide expression values not being normally distributed J Hardin, J Wilson Biostatistics 10 (3), 446-450, 2009 | 47 | 2009 |
| Inter-colony comparison of diving behavior of an Arctic top predator: implications for warming in the Greenland Sea NJ Karnovsky, ZW Brown, J Welcker, AMA Harding, W Walkusz, ... Marine Ecology Progress Series 440, 229-240, 2011 | 42 | 2011 |
| Some computational issues in cluster analysis with no a priori metric D Coleman, X Dong, J Hardin, DM Rocke, DL Woodruff Computational Statistics & Data Analysis 31 (1), 1-11, 1999 | 39 | 1999 |
| Network analysis with the enron email corpus JS Hardin, G Sarkis, PC Urc Journal of Statistics Education 23 (2), 2015 | 32 | 2015 |
| A unified framework for random forest prediction error estimation B Lu, J Hardin Journal of Machine Learning Research 22 (8), 1-41, 2021 | 30 | 2021 |
| Comparative data mining for microarrays: A case study based on multiple myeloma D Page, F Zhan, J Cussens, M Waddell, J Hardin, B Barlogic, JS JR University of Wisconsin-Madison Department of Computer Sciences, 2002 | 26 | 2002 |
