Stephanie C. Hicks

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Leonardo Collado-TorresInvestigator at LIBD + Asst. Prof., Department of Biostatistics, JHBSPHVerified email at libd.org
Kristen MaynardInvestigator, Lieber Institute for Brain DevelopmentVerified email at libd.org
Thomas M. HydeChief Operating Officer, Lieber Institute for Brain DevelopmentVerified email at libd.org
Lukas M. WeberAssistant Professor, Department of Biostatistics, Boston UniversityVerified email at bu.edu
Rafael A IrizarryProfessor, Biostatistics and Computational Biology, Dana-Farber and HarvardVerified email at ds.dfci.harvard.edu
Madhavi TippaniLieber Institute for Brain DevelopmentVerified email at libd.org
Keri MartinowichSenior Investigator, Lieber Institute & Professor, Johns Hopkins School of MedicineVerified email at libd.org
Davide RissoDepartment of Statistical Sciences, University of Padova, ItalyVerified email at unipd.it
Andrew E. JaffeVP, Head of Data Sciences, Neumora TherapeuticsVerified email at neumoratx.com
Stephanie Cerceo PageResearch Scientist, LIBDVerified email at libd.org
F. William TownesAssistant Professor of Statistics and Data Science, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Marek KimmelProfessor of Statistics and Bioengineering, Rice UniversityVerified email at rice.edu
Kelsey D. MontgomeryResearch Associate - Lieber Institute for Brain DevelopmentVerified email at go.rmc.edu
Heena R. DivechaResearch Associate at Lieber Institute for Brain DevelopmentVerified email at libd.org
Brianna K. BarryNeuroscientistVerified email at jhmi.edu
Charlotte SonesonResearch Associate, FMI, BaselVerified email at fmi.ch
Casey S. GreeneBiomedical Informatics; Center for Health AI; University of Colorado Anschutz MedicalVerified email at cuanschutz.edu
Mingxiang TengBiostatistics & Bioinformatics, Moffitt Cancer CenterVerified email at moffitt.org
Aaron LunGenentech, Inc.Verified email at gene.com
Martin J. AryeeAssociate Professor, Dept of Data Science, Dana Farber Cancer Institute & Dept of Pathology, HarvardVerified email at ds.dfci.harvard.edu

Stephanie C. Hicks

Associate Professor, Johns Hopkins Bloomberg School of Public Health

Verified email at jhu.edu - Homepage

computational genomics biostatistics data science machine learning analytic design theory


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Eleven grand challenges in single-cell data science D Lähnemann, J Köster, E Szczurek, DJ McCarthy, SC Hicks, ... Genome biology 21, 1-35, 2020	1049	2020
50 years of data science D Donoho Journal of Computational and Graphical Statistics 26 (4), 745-766, 2017	766	2017
Orchestrating single-cell analysis with Bioconductor RA Amezquita, ATL Lun, E Becht, VJ Carey, LN Carpp, L Geistlinger, ... Nature methods 17 (2), 137-145, 2020	699	2020
Transcriptome-scale spatial gene expression in the human dorsolateral prefrontal cortex KR Maynard, L Collado-Torres, LM Weber, C Uytingco, BK Barry, ... Nature neuroscience 24 (3), 425-436, 2021	606	2021
Missing data and technical variability in single-cell RNA-sequencing experiments SC Hicks, FW Townes, M Teng, RA Irizarry Biostatistics 19 (4), 562-578, 2018	598*	2018
Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model FW Townes, SC Hicks, MJ Aryee, RA Irizarry Genome biology 20, 1-16, 2019	474	2019
A practical guide to methods controlling false discoveries in computational biology K Korthauer, PK Kimes, C Duvallet, A Reyes, A Subramanian, M Teng, ... Genome biology 20, 1-21, 2019	308	2019
Comparison of outcomes of synthetic mesh vs suture repair of elective primary ventral herniorrhaphy: a systematic review and meta-analysis MT Nguyen, RL Berger, SC Hicks, JA Davila, LT Li, LS Kao, MK Liang JAMA surgery 149 (5), 415-421, 2014	286	2014
Prediction of missense mutation functionality depends on both the algorithm and sequence alignment employed S Hicks, DA Wheeler, SE Plon, M Kimmel Human mutation 32 (6), 661-668, 2011	273	2011
A systematic evaluation of single-cell RNA-sequencing imputation methods W Hou, Z Ji, H Ji, SC Hicks Genome biology 21, 1-30, 2020	271	2020
Development and validation of a risk-stratification score for surgical site occurrence and surgical site infection after open ventral hernia repair RL Berger, LT Li, SC Hicks, JA Davila, LS Kao, MK Liang Journal of the American College of Surgeons 217 (6), 974-982, 2013	221	2013
Reproducibility standards for machine learning in the life sciences BJ Heil, MM Hoffman, F Markowetz, SI Lee, CS Greene, SC Hicks Nature Methods 18 (10), 1132-1135, 2021	174	2021
Evolutionary action score of TP53 identifies high-risk mutations associated with decreased survival and increased distant metastases in head and neck cancer DM Neskey, AA Osman, TJ Ow, P Katsonis, T McDonald, SC Hicks, ... Cancer research 75 (7), 1527-1536, 2015	171	2015
Single-nucleus transcriptome analysis reveals cell-type-specific molecular signatures across reward circuitry in the human brain MN Tran, KR Maynard, A Spangler, LA Huuki, KD Montgomery, ... Neuron 109 (19), 3088-3103. e5, 2021	155	2021
Trans-cutaneous closure of central defects (TCCD) in laparoscopic ventral hernia repairs (LVHR) ML Clapp, SC Hicks, SS Awad, MK Liang World journal of surgery 37, 42-51, 2013	132	2013
A guide to teaching data science SC Hicks, RA Irizarry The American Statistician 72 (4), 382-391, 2018	126	2018
quantro: a data-driven approach to guide the choice of an appropriate normalization method SC Hicks, RA Irizarry Genome biology 16, 1-8, 2015	126*	2015
Smooth quantile normalization SC Hicks, K Okrah, JN Paulson, J Quackenbush, RA Irizarry, HC Bravo Biostatistics 19 (2), 185-198, 2018	107	2018
Evolutionary action score of TP53 coding variants is predictive of platinum response in head and neck cancer patients AA Osman, DM Neskey, P Katsonis, AA Patel, AM Ward, TK Hsu, ... Cancer research 75 (7), 1205-1215, 2015	97	2015
Analysis and correction of compositional bias in sparse sequencing count data MS Kumar, EV Slud, K Okrah, SC Hicks, S Hannenhalli, H Corrada Bravo BMC genomics 19, 1-23, 2018	95	2018

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