Stephanie C. Hicks

According to our database, Stephanie C. Hicks authored at least 9 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Design Principles for Data Analysis.

Lucy D'Agostino McGowan, Roger D. Peng, Stephanie C. Hicks

J. Comput. Graph. Stat., April, 2023

2022

Addressing the mean-correlation relationship in co-expression analysis.

Yi Wang, Stephanie C. Hicks, Kasper D. Hansen

PLoS Comput. Biol., 2022

SpatialExperiment: infrastructure for spatially-resolved transcriptomics data in R using Bioconductor.

Dario Righelli, Lukas M. Weber, Helena L. Crowell, Brenda Pardo, Leonardo Collado-Torres, Shila Ghazanfar, Aaron T. L. Lun, Stephanie C. Hicks, Davide Risso

Bioinform., 2022

2021

miQC: An adaptive probabilistic framework for quality control of single-cell RNA-sequencing data.

Ariel A. Hippen, Matias M. Falco, Lukas M. Weber, Erdogan Pekcan Erkan, Kaiyang Zhang, Jennifer Anne Doherty, Anna Vähärautio, Casey S. Greene, Stephanie C. Hicks

PLoS Comput. Biol., 2021

mbkmeans: Fast clustering for single cell data using mini-batch k-means.

Stephanie C. Hicks, Ruoxi Liu, Yuwei Ni, Elizabeth Purdom, Davide Risso

PLoS Comput. Biol., 2021

Fast and memory-efficient scRNA-seq <i>k</i>-means clustering with various distances.

Daniel N. Baker, Nathan Dyjack, Vladimir Braverman, Stephanie C. Hicks, Ben Langmead

Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

2020

TreeSummarizedExperiment: a S4 class for data with hierarchical structure.

Ruizhu Huang, Charlotte Soneson, Felix G. M. Ernst, Kevin C. Rue-Albrecht, Guangchuang Yu, Stephanie C. Hicks, Mark D. Robinson

F1000Research, 2020

2019

12 Grand Challenges in Single-Cell Data Science.

David Laehnemann, Johannes Köster, Ewa Szczurek, Davis J. McCarthy, Stephanie C. Hicks, Mark D. Robinson, Catalina A. Vallejos, Niko Beerenwinkel, Kieran R. Campbell, Ahmed Mahfouz, Luca Pinello, Pavel Skums, Alexandros Stamatakis, Camille Stephan-Otto Attolini, Samuel Aparicio, Jasmijn A. Baaijens, Marleen Balvert, Buys de Barbanson, Antonio Cappuccio, Giacomo Corleone, Bas E. Dutilh, Maria Florescu, Victor Guryev, Rens Holmer, Katharina Jahn, Thamar Jessurun Lobo, Emma M. Keizer, Indu Khatri, Szymon M. Kielbasa, Jan O. Korbel, Alexey M. Kozlov, Tzu-Hao Kuo, Boudewijn P. F. Lelieveldt, Ion I. Mandoiu, John C. Marioni, Tobias Marschall, Felix Mölder, Amir Niknejad, Lukasz Raczkowski, Marcel J. T. Reinders, Jeroen de Ridder, Antoine-Emmanuel Saliba, Antonios Somarakis, Oliver Stegle, Fabian J. Theis, Huan Yang, Alex Zelikovsky, Alice C. McHardy, Benjamin J. Raphael, Sohrab P. Shah, Alexander Schönhuth

PeerJ Prepr., 2019

2016

A Guide to Teaching Data Science.

Stephanie C. Hicks, Rafael A. Irizarry

CoRR, 2016