World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
44018
World Ranking
8546
National Ranking
3651

Overview

Andrew B. Nobel is affiliated with the University of North Carolina at Chapel Hill in the United States. Their research spans multiple disciplines within biochemistry, genetics, and molecular biology, with a focus on areas such as molecular biology, genetics, statistical and nonlinear physics, statistics and probability, and mathematical physics.

The scientist's recent publications reflect a broad engagement with genetic regulatory effects and transcriptomics across human tissues, as well as proteomics and telomere length studies. Some notable papers include:

  • The GTEx Consortium atlas of genetic regulatory effects across human tissues, 2020, Science
  • Cell type-specific genetic regulation of gene expression across human tissues, 2020, Science
  • Determinants of telomere length across human tissues, 2020, Science
  • A Quantitative Proteome Map of the Human Body, 2020, Cell
  • Population-scale tissue transcriptomics maps long non-coding RNAs to complex disease, 2021, Cell

Their frequent co-authors highlight collaborations with researchers such as François Aguet, Kristin Ardlie, Fred A. Wright, Stephane E. Castel, and Gad Getz.

Andrew B. Nobel has published extensively across several venues, including:

  • UNC Libraries
  • arXiv (Cornell University)
  • Science
  • Cell
  • Information and Inference A Journal of the IMA

The scientist's main fields of study are grounded in biochemistry, genetics, and molecular biology. Their work touches on topics such as gene expression and cancer classification, bioinformatics and genomic networks, complex network analysis techniques, genetic associations and epidemiology, Markov chains and Monte Carlo methods, stochastic processes and statistical mechanics, and RNA research and splicing.

Best Publications

  • The Genotype-Tissue Expression (GTEx) project

    John Lonsdale;Jeffrey Thomas;Mike Salvatore;Rebecca Phillips

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

    Therese Sørlie;Robert Tibshirani;Joel Parker;Trevor Hastie

  • The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans

    Kristin G. Ardlie;David S. Deluca;Ayellet V. Segrè

  • Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes

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

  • The GTEx Consortium atlas of genetic regulatory effects across human tissues

    F Aguet;AN Barbeira;R Bonazzola;A Brown

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

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

  • Correction: Corrigendum: Synchronized age-related gene expression changes across multiple tissues in human and the link to complex diseases

    Jialiang Yang;Tao Huang;Francesca Petralia;Quan Long

  • Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics.

    Alvaro N. Barbeira;Scott P. Dickinson;Rodrigo Bonazzola;Jiamao Zheng

  • 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

  • Significance analysis of functional categories in gene expression studies: a structured permutation approach

    William T. Barry;Andrew B. Nobel;Fred A. Wright

  • A Quantitative Proteome Map of the Human Body.

    Lihua Jiang;Meng Wang;Shin Lin;Ruiqi Jian

  • Statistical Significance of Clustering for High-Dimension, Low–Sample Size Data

    Yufeng Liu;David Neil Hayes;Andrew Nobel;James Stephen Marron

  • Merging two gene-expression studies via cross-platform normalization

    Andrey A. Shabalin;Håkon Tjelmeland;Cheng Fan;Charles M. Perou

  • Consistency of Data-driven Histogram Methods for Density Estimation and Classification

    Gábor Lugosi;Andrew Nobel

  • Synchronized age-related gene expression changes across multiple tissues in human and the link to complex diseases

    Jialiang Yang;Tao Huang;Francesca Petralia;Quan Long

  • ChIPOTle: a user-friendly tool for the analysis of ChIP-chip data

    Michael J Buck;Andrew B Nobel;Jason D Lieb

  • FINDING LARGE AVERAGE SUBMATRICES IN HIGH DIMENSIONAL DATA

    Andrey A. Shabalin;Victor J. Weigman;Charles M. Perou;Andrew B. Nobel

  • Co-expression networks reveal the tissue-specific regulation of transcription and splicing

    Ashis Saha;Yungil Kim;Ariel D.H. Gewirtz;Brian Jo

  • Reconstruction of a low-rank matrix in the presence of Gaussian noise

    Andrey A. Shabalin;Andrew B. Nobel

  • Gene expression profiles do not consistently predict the clinical treatment response in locally advanced breast cancer

    Therese Sørlie;Charles M. Perou;Cheng Fan;Stephanie Geisler

  • The Genotype-Tissue Expression (GTEx) project

    John Lonsdale;Jeffrey Thomas;Mike Salvatore;Rebecca Phillips

  • Histogram regression estimation using data-dependent partitions

    Andrew Nobel

  • Adaptive model selection using empirical complexities

    Gábor Lugosi;Andrew B. Nobel

  • Heading Down the Wrong Pathway: on the Influence of Correlation within Gene Sets

    Daniel M Gatti;William T Barry;Andrew B Nobel;Ivan Rusyn

Frequent Co-Authors

Fred A. Wright
Fred A. Wright North Carolina State University
Emmanouil T. Dermitzakis
Emmanouil T. Dermitzakis University of Geneva
Eric R. Gamazon
Eric R. Gamazon Vanderbilt University Medical Center
Gad Getz
Gad Getz Broad Institute
Maggie C.U. Cheang
Maggie C.U. Cheang Institute of Cancer Research
James Stephen Marron
James Stephen Marron University of North Carolina at Chapel Hill
Nancy J. Cox
Nancy J. Cox Vanderbilt University Medical Center
Daniel G. MacArthur
Daniel G. MacArthur Garvan Institute of Medical Research

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