Nonparametric Statistical Methods.

Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625

Use of proteomic patterns in serum to identify ovarian cancer

Petricoin, E. F., Ardekani, A. M., Hitt, B. A., Levine, P. J., Fusaro, V. A., Steinberg, S. M., Mills, G. B., Simone, C., Fishman, D. A., Kohn, E. C., et al. (2002) · The Lancet · doi:10.1016/s0140-6736(02)07746-2 · Cited by 3,236

An atlas of active enhancers across human cell types and tissues

The FANTOM Consortium, Andersson, R., Gebhard, C., Miguel-Escalada, I., Hoof, I., Bornholdt, J., Boyd, M., Chen, Y., Zhao, X., Schmidl, C., et al. (2014) · Nature · doi:10.1038/nature12787 · Cited by 2,550

Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study

Randhawa, G. S., Soltysiak, M. P. M., El Roz, H., de Souza, C. P. E., Hill, K. A., & Kari, L. (2020) · PLOS ONE · doi:10.1371/journal.pone.0232391 · Cited by 1,023

Hypnotic Disgust Makes Moral Judgments More Severe

Wheatley, T., & Haidt, J. (2005) · Psychological Science · doi:10.1111/j.1467-9280.2005.01614.x · Cited by 851

Evaluation of Methods for the Extraction and Purification of DNA from the Human Microbiome

Yuan, S., Cohen, D. B., Ravel, J., Abdo, Z., & Forney, L. J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0033865 · Cited by 511

Treadmill Exercise and Resistance Training in Patients With Peripheral Arterial Disease With and Without Intermittent Claudication: A Randomized Controlled Trial

McDermott, M. M., Ades, P., Guralnik, J. M., Dyer, A., Ferrucci, L., Liu, K., Nelson, M., Lloyd-Jones, D., Van Horn, L., Garside, D., et al. (2009) · JAMA · doi:10.1001/jama.2008.962 · Cited by 449

Intestinal Microbiota in Healthy Adults: Temporal Analysis Reveals Individual and Common Core and Relation to Intestinal Symptoms

Jalanka-Tuovinen, J., Salonen, A., Nikkilä, J., Immonen, O., Kekkonen, R., Lahti, L., Palva, A., & de Vos, W. M. (2011) · PLoS ONE · doi:10.1371/journal.pone.0023035 · Cited by 340

Diverse Genome-wide Association Studies Associate the IL12/IL23 Pathway with Crohn Disease

Wang, K., Zhang, H., Kugathasan, S., Annese, V., Bradfield, J. P., Russell, R. K., Sleiman, P. M. A., Imielinski, M., Glessner, J., Hou, C., et al. (2009) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2009.01.026 · Cited by 291

Untitled work

(2006) · PubMed · Cited by 269

Applications of Connectivity Map in drug discovery and development

Qu, X. A., & Rajpal, D. K. (2012) · Drug Discovery Today · doi:10.1016/j.drudis.2012.07.017 · Cited by 235

Does impulsivity relate to perceived dependence on and actual use of the mobile phone?

Billieux, J., Van der Linden, M., d'Acremont, M., Ceschi, G., & Zermatten, A. (2007) · Applied Cognitive Psychology · doi:10.1002/acp.1289 · Cited by 218

Higher levels and blunted diurnal variation of cortisol in frail older women

Varadhan, R., Walston, J., Cappola, A. R., Carlson, M. C., Wand, G. S., & Fried, L. P. (2008) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/63.2.190 · Cited by 182

An open-label trial of N-acetylcysteine for the treatment of cocaine dependence: A pilot study

Mardikian, P. N., LaRowe, S. D., Hedden, S., Kalivas, P. W., & Malcolm, R. J. (2007) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2006.10.001 · Cited by 179

An impact assessment of machine learning risk forecasts on parole board decisions and recidivism

Berk, R. (2017) · Journal of Experimental Criminology · doi:10.1007/s11292-017-9286-2 · Cited by 169

Tryptase levels in nasal-lavage fluid as an indicator of the immediate allergic response

Castells, M., & Schwartz, L. B. (1988) · Journal of Allergy and Clinical Immunology · doi:10.1016/0091-6749(88)90005-x · Cited by 160

Learning analytics to support self-regulated learning in asynchronous online courses: A case study at a women's university in South Korea

Kim, D., Yoon, M., Jo, I.-H., & Branch, R. M. (2018) · Computers & Education · doi:10.1016/j.compedu.2018.08.023 · Cited by 151

Validation of photoplethysmography-based sleep staging compared with polysomnography in healthy middle-aged adults

Fonseca, P., Weysen, T., Goelema, M. S., Møst, E. I. S., Radha, M., Lunsingh Scheurleer, C., van den Heuvel, L., & Aarts, R. M. (2017) · SLEEP · doi:10.1093/sleep/zsx097 · Cited by 148

Effect of Parkinson’s Disease and Related Medications on the Composition of the Fecal Bacterial Microbiota

Weis, S., Schwiertz, A., Unger, M. M., Becker, A., Faßbender, K., Ratering, S., Kohl, M., Schnell, S., Schäfer, K.-H., & Egert, M. (2019) · npj Parkinson s Disease · doi:10.1038/s41531-019-0100-x · Cited by 145

Zinc Pyrithione Inhibits Yeast Growth through Copper Influx and Inactivation of Iron-Sulfur Proteins

Reeder, N. L., Kaplan, J., Xu, J., Youngquist, R. S., Wallace, J., Hu, P., Juhlin, K. D., Schwartz, J. R., Grant, R. A., Fieno, A., et al. (2011) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.00724-11 · Cited by 116

Genetic Investigation of Quantitative Traits Related to Autism: Use of Multivariate Polygenic Models with Ascertainment Adjustment

Sung, Y. J., Dawson, G., Munson, J., Estes, A., Schellenberg, G. D., & Wijsman, E. M. (2005) · The American Journal of Human Genetics · doi:10.1086/426951 · Cited by 113

Continental U.S. streamflow trends from 1940 to 2009 and their relationships with watershed spatial characteristics

Rice, J. S., Emanuel, R. E., Vose, J. M., & Nelson, S. A. C. (2015) · Water Resources Research · doi:10.1002/2014wr016367 · Cited by 95

Occupant centered lighting control: A user study on balancing comfort, acceptance, and energy consumption

Nagy, Z., Yong, F. Y., & Schlueter, A. (2016) · Energy and Buildings · doi:10.1016/j.enbuild.2016.05.075 · Cited by 96

Genomic mapping of RNA polymerase II reveals sites of co-transcriptional regulation in human cells

Brodsky, A. S., Meyer, C. A., Swinburne, I. A., Hall, G., Keenan, B. J., Liu, X. S., Fox, E. A., & Silver, P. A. (2005) · Genome Biology · doi:10.1186/gb-2005-6-8-r64 · Cited by 94

Misprescription and misuse of one-tailed tests

LOMBARDI, C. M., & HURLBERT, S. H. (2009) · Austral Ecology · doi:10.1111/j.1442-9993.2009.01946.x · Cited by 93

Benchmarking a quantum annealing processor with the time-to-target metric

King, J., Yarkoni, S., Nevisi, M. M., Hilton, J. P., & McGeoch, C. C. (2015) · arXiv · doi:10.48550/arxiv.1508.05087 · Cited by 77

Intranasal naloxone delivery is an alternative to intravenous naloxone for opioid overdoses

Merlin, M. A., Saybolt, M., Kapitanyan, R., Alter, S. M., Jeges, J., Liu, J., Calabrese, S., Rynn, K. O., Perritt, R., & Pryor, P. W. (2010) · The American Journal of Emergency Medicine · doi:10.1016/j.ajem.2008.12.009 · Cited by 75

Connectivity and tissue microstructural alterations in right and left temporal lobe epilepsy revealed by diffusion spectrum imaging

Lemkaddem, A., Daducci, A., Kunz, N., Lazeyras, F., Seeck, M., Thiran, J.-P., & Vulliémoz, S. (2014) · NeuroImage: Clinical · doi:10.1016/j.nicl.2014.07.013 · Cited by 70

DTI measurements for Alzheimer’s classification

Maggipinto, T., Bellotti, R., Amoroso, N., Diacono, D., Donvito, G., Lella, E., Monaco, A., Antonella Scelsi, M., Tangaro, S., & Initiative, A. D. N. (2017) · Physics in Medicine & Biology · doi:10.1088/1361-6560/aa5dbe · Cited by 70

Effects of organically and conventionally produced feed on biomarkers of health in a chicken model

Huber, M., van de Vijver, L. P. L., Parmentier, H., Savelkoul, H., Coulier, L., Wopereis, S., Verheij, E., van der Greef, J., Nierop, D., & Hoogenboom, R. A. P. (2010) · British Journal of Nutrition · doi:10.1017/s0007114509992236 · Cited by 55

Synaptic Changes in the Dentate Gyrus of APP/PS1 Transgenic Mice Revealed by Electron Microscopy

Alonso-Nanclares, L., Merino-Serrais, P., Gonzalez, S., & DeFelipe, J. (2013) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e31828d41ec · Cited by 45

What distinguishes great software engineers

Li, P. L., Ko, A. J., & Begel, A. (2020) · Empirical Software Engineering · doi:10.1007/s10664-019-09773-y · Cited by 48

Gestational Exposure to Perfluorooctanoic Acid (PFOA): Alterations in Motor Related Behaviors

Goulding, D. R., White, S. S., McBride, S. J., Fenton, S. E., & Harry, G. J. (2017) · NeuroToxicology · doi:10.1016/j.neuro.2016.11.008 · Cited by 42

Bayesian Data Analysis in Empirical Software Engineering Research

Furia, C. A., Feldt, R., & Torkar, R. (2019) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2019.2935974 · Cited by 42

Effectiveness of surf therapy for children with disabilities

Clapham, E. D., Lamont, L. S., Shim, M., Lateef, S., & Armitano, C. N. (2020) · Disability and Health Journal · doi:10.1016/j.dhjo.2019.100828 · Cited by 39

Safety profile and metabolic effects of 14 days of treatment with DIO-902: results of a phase IIa multicenter, randomized, double-blind, placebo-controlled, parallel-group trial in patients with type 2 diabetes mellitus

SCHWARTZ, S., RENDELL, M., AHMANN, A., THOMAS, A., ARAUZPACHECO, C., & WELLES, B. (2008) · Clinical Therapeutics · doi:10.1016/j.clinthera.2008.05.021 · Cited by 29

Temporal trends for inflow of perfluorooctanesulfonate (PFOS) and perfluorooctanoate (PFOA) to Tokyo Bay, Japan, estimated by a receptor-oriented approach

Sakurai, T., Serizawa, S., Kobayashi, J., Kodama, K., Lee, J.-H., Maki, H., Zushi, Y., Sevilla-Nastor, J. B., Imaizumi, Y., Suzuki, N., et al. (2016) · Science of The Total Environment · doi:10.1016/j.scitotenv.2015.08.142 · Cited by 29

Ablation of folliculogenesis in women by a single dose of gonadotropin-releasing hormone agonist: significance of time in cycle

Monroe, S. E., Henzl, M. R., Martin, M. C., Schriock, E., Lewis, V., Nerenberg, C., & Jaffe, R. B. (1985) · Fertility and Sterility · doi:10.1016/s0015-0282(16)48432-3 · Cited by 27

Maternal smoking during pregnancy and risks to depression and anxiety in offspring: An observational study and genome-wide gene-environment interaction analysis in UK biobank cohort

Chu, X., Ye, J., Wen, Y., Li, P., Cheng, B., Cheng, S., Zhang, L., Liu, L., Qi, X., Ma, M., et al. (2021) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2021.05.067 · Cited by 20

Quantitative gait assessment in children with 16p11.2 syndrome

Goldman, S., McCullough, A. K., Young, S. D., Mueller, C., Stahl, A., Zoeller, A., Abbruzzese, L. D., Rao, A. K., & Montes, J. (2019) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-019-9286-9 · Cited by 14

The effects of experience and disuse on crossword solving.

Moxley, J. H., Ericsson, K. A., Scheiner, A., & Tuffiash, M. (2015) · Applied Cognitive Psychology · doi:10.1002/acp.3075 · Cited by 9