World's Best Scientists 2026 revealed!
Award Badge
Engineering and Technology
USA
2026
Award Badge
Mathematics
USA
2026

D-Index & Metrics

Mathematics

D-Index
81
Citations
32097
World Ranking
135
National Ranking
77

Engineering and Technology

D-Index
88
Citations
48950
World Ranking
309
National Ranking
105

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in United States Leader Award
  • 2026 - Research.com Mathematics in United States Leader Award
  • 2025 - Research.com Engineering and Technology in United States Leader Award
  • 2025 - Research.com Mathematics in United States Leader Award
  • 1998 - Fellow of the American Statistical Association (ASA)

Overview

James Stephen Marron is affiliated with the University of North Carolina at Chapel Hill in the United States. Their research primarily spans the field of Biochemistry, Genetics and Molecular Biology, with a total of 27 publications. The scientist's work includes subfields such as Molecular Biology, Statistics and Probability, Artificial Intelligence, Oncology, and Computer Vision and Pattern Recognition.

The research topics covered by Marron focus on areas including gene expression and cancer classification, AI applications in cancer detection, statistical methods and inference, single-cell and spatial transcriptomics, morphological variations and asymmetry, cutaneous melanoma detection and management, as well as Bayesian methods and mixture models.

Several frequent co-authors have collaborated with Marron, comprising Charles M. Perou, Katherine A. Hoadley, Stephen M. Pizer, James Damon, and Mohsen Taheri.

Marron's frequent publication venues illustrate the breadth of their work, including UNC Libraries with 21 publications, The Annals of Applied Statistics, Cancers, Journal of Mathematical Imaging and Vision, and Test.

Among their notable recent papers are:

  • MultiK: an automated tool to determine optimal cluster numbers in single-cell RNA sequencing data (2021) published in Genome Biology
  • A General Framework for Consistency of Principal Component Analysis (2020) published in The HKU Scholars Hub (University of Hong Kong)
  • Biclustering reveals potential knee OA phenotypes in exploratory analyses: Data from the Osteoarthritis Initiative (2022) published in PLoS ONE
  • Predicting early breast cancer recurrence from histopathological images in the Carolina Breast Cancer Study (2023) published in npj Breast Cancer
  • SCISSOR: a framework for identifying structural changes in RNA transcripts (2021) published in Nature Communications

Marron was recognized as a Fellow of the American Statistical Association in 1998.

Best Publications

  • Repeated observation of breast tumor subtypes in independent gene expression data sets

    Therese Sørlie;Robert Tibshirani;Joel Parker;Trevor Hastie

  • Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes

    Joel S. Parker;Michael Mullins;Maggie C.U. Cheang;Samuel Leung

  • Comprehensive molecular profiling of lung adenocarcinoma: The cancer genome atlas research network

    Eric A. Collisson;Joshua D. Campbell;Angela N. Brooks;Angela N. Brooks;Alice H. Berger

  • The molecular portraits of breast tumors are conserved across microarray platforms

    Zhiyuan Hu;Cheng Fan;Daniel S Oh;JS Marron

  • A Brief Survey of Bandwidth Selection for Density Estimation

    M. C. Jones;J. S. Marron;S. J. Sheather

  • A method for normalizing histology slides for quantitative analysis

    Marc Macenko;Marc Niethammer;J. S. Marron;David Borland

  • Exact Mean Integrated Squared Error

    J. S. Marron;M. P. Wand

  • Predicting fault incidence using software change history

    T.L. Graves;A.F. Karr;J.S. Marron;H. Siy

  • Does code decay? Assessing the evidence from change management data

    S.G. Eick;T.L. Graves;A.F. Karr;J.S. Marron

  • SiZer for Exploration of Structures in Curves

    Probal Chaudhuri;James Stephen Marron

  • Comparison of Data-Driven Bandwidth Selectors

    Byeong U. Park;J. S. Marron

  • Geometric representation of high dimension, low sample size data

    Peter Hall;J. S. Marron;Amnon Neeman

  • Optimal Bandwidth Selection in Nonparametric Regression Function Estimation

    Wolfgang Hardle;James Stephen Marron

  • JOINT AND INDIVIDUAL VARIATION EXPLAINED (JIVE) FOR INTEGRATED ANALYSIS OF MULTIPLE DATA TYPES

    Eric F. Lock;Katherine A. Hoadley;J. S. Marron;Andrew B. Nobel

  • Adjustment of systematic microarray data biases

    Monica Benito;Joel Parker;Quan Du;Junyuan Wu

  • How Far are Automatically Chosen Regression Smoothing Parameters from their Optimum

    Wolfgang Härdle;Peter Hall;J. S. Marron

  • Robust principal component analysis for functional data

    N. Locantore;J. S. Marron;D. G. Simpson;N. Tripoli

  • Characterization of HPV and host genome interactions in primary head and neck cancers.

    Michael Parfenov;Chandra Sekhar Pedamallu;Nils Gehlenborg;Nils Gehlenborg;Samuel S. Freeman

  • Distance-Weighted Discrimination

    J. S Marron;Michael J Todd;Jeongyoun Ahn

  • Transformations in Density Estimation

    M. P. Wand;J. S. Marron;D. Ruppert

  • Bootstrap Simultaneous Error Bars for Nonparametric Regression

    W. Hardle;J. S. Marron

  • Geometric representation of high dimension, low sample size data

    Hall Peter Gavin;J S Marron;Amnon Neeman

Frequent Co-Authors

Charles M. Perou
Charles M. Perou University of North Carolina at Chapel Hill
Marc Niethammer
Marc Niethammer University of North Carolina at Chapel Hill
Stephen M. Pizer
Stephen M. Pizer University of North Carolina at Chapel Hill
Joel S. Parker
Joel S. Parker University of North Carolina at Chapel Hill
Wolfgang Karl Härdle
Wolfgang Karl Härdle Humboldt-Universität zu Berlin
Andrew B. Nobel
Andrew B. Nobel University of North Carolina at Chapel Hill
Matthew D. Wilkerson
Matthew D. Wilkerson Uniformed Services University of the Health Sciences
Matt P. Wand
Matt P. Wand University of Technology Sydney
Elizabeth Bullitt
Elizabeth Bullitt University of North Carolina at Chapel Hill
Martin Styner
Martin Styner University of North Carolina at Chapel Hill

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a degree in Mathematics opens doors to various interdisciplinary fields that enhance analytical and quantitative skills. For those interested in combining math with business, exploring a master's degree in marketing can provide valuable insights into data-driven market strategies and consumer behavior.

Many professionals also consider advancing through an MBA, which offers leadership and managerial skills. Programs like the best 1 year MBA programs provide accelerated paths to enhance business acumen without sacrificing too much time.

For flexibility, some students explore options on whether can you transfer MBA programs, giving them the opportunity to switch schools or tailor their education to accommodate professional schedules and goals.

Moreover, the growing field of data science and analytics closely aligns with mathematical training. A data analytics masters programs offers specialized knowledge to analyze complex data sets, opening career pathways in tech, finance, and healthcare sectors.

Best Scientists Citing James Stephen Marron

Trending Scientists

Recently Published Articles