Követés
Stephanie C. Hicks
Stephanie C. Hicks
Associate Professor, Johns Hopkins Bloomberg School of Public Health
E-mail megerősítve itt: jhu.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Eleven grand challenges in single-cell data science
D Lähnemann, J Köster, E Szczurek, DJ McCarthy, SC Hicks, ...
Genome biology 21, 1-35, 2020
11892020
50 years of data science
D Donoho
Journal of Computational and Graphical Statistics 26 (4), 745-766, 2017
8272017
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
8252020
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
7832021
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
648*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
5092019
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
3522019
A systematic evaluation of single-cell RNA-sequencing imputation methods
W Hou, Z Ji, H Ji, SC Hicks
Genome biology 21, 1-30, 2020
3082020
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
2882014
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
2782011
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
2212013
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
1922021
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
1852021
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
1752015
A guide to teaching data science
SC Hicks, RA Irizarry
The American Statistician 72 (4), 382-391, 2018
1412018
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
1392013
quantro: a data-driven approach to guide the choice of an appropriate normalization method
SC Hicks, RA Irizarry
Genome biology 16, 1-8, 2015
124*2015
Smooth quantile normalization
SC Hicks, K Okrah, JN Paulson, J Quackenbush, RA Irizarry, HC Bravo
Biostatistics 19 (2), 185-198, 2018
1212018
spatialLIBD: an R/Bioconductor package to visualize spatially-resolved transcriptomics data
B Pardo, A Spangler, LM Weber, SC Page, SC Hicks, AE Jaffe, ...
BMC genomics 23 (1), 434, 2022
1082022
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
1062018
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Cikkek 1–20