Publications by authors named "David Donoho"

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Hybrid BAG-seq: DNA and RNA from the same single nucleus reveals interactions between genomic and transcriptomic landscapes in human tumor samples.
Siran Li, Joan Alexander, Jude Kendall, Peter Andrews, Elizabeth Rose, David L Donoho

Genome Biol· September 2025

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Principled and interpretable alignability testing and integration of single-cell data.
Rong Ma, Eric D Sun, David Donoho, James Zou

Proc Natl Acad Sci U S A· March 2024

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NUScon: a community-driven platform for quantitative evaluation of nonuniform sampling in NMR.
Yulia Pustovalova, Frank Delaglio, D Levi Craft, Haribabu Arthanari, Ad Bax, David L Donoho

Magn Reson (Gott)· November 2021

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The science of deep learning.
Richard Baraniuk, David Donoho, Matan Gavish

Proc Natl Acad Sci U S A· December 2020

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Prevalence of neural collapse during the terminal phase of deep learning training.
Vardan Papyan, X Y Han, David L Donoho

Proc Natl Acad Sci U S A· October 2020

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Optimal Shrinkage of Eigenvalues in the Spiked Covariance Model.
David L Donoho, Matan Gavish, Iain M Johnstone

Ann Stat· August 2018

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The phase transition of matrix recovery from Gaussian measurements matches the minimax MSE of matrix denoising.
David L Donoho, Matan Gavish, Andrea Montanari

Proc Natl Acad Sci U S A· May 2013

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Deterministic matrices matching the compressed sensing phase transitions of Gaussian random matrices.
Hatef Monajemi, Sina Jafarpour, Matan Gavish, , David L Donoho

Proc Natl Acad Sci U S A· January 2013

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An invitation to reproducible computational research.
David L Donoho

Biostatistics· July 2010

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Gray and color image contrast enhancement by the curvelet transform.
Jean-Luc Starck, Fionn Murtagh, Emmanuel J Candès, David L Donoho

IEEE Trans Image Process· December 2009

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The curvelet transform for image denoising.
Jean-Luc Starck, Emmanuel J Candès, David L Donoho

IEEE Trans Image Process· December 2009

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Observed universality of phase transitions in high-dimensional geometry, with implications for modern data analysis and signal processing.
David Donoho, Jared Tanner

Philos Trans A Math Phys Eng Sci· November 2009

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Feature selection by higher criticism thresholding achieves the optimal phase diagram.
David Donoho, Jiashun Jin

Philos Trans A Math Phys Eng Sci· November 2009

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Message-passing algorithms for compressed sensing.
David L Donoho, Arian Maleki, Andrea Montanari

Proc Natl Acad Sci U S A· November 2009

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Higher criticism thresholding: Optimal feature selection when useful features are rare and weak.
David Donoho, Jiashun Jin

Proc Natl Acad Sci U S A· September 2008

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Sparse MRI: The application of compressed sensing for rapid MR imaging.
Michael Lustig, David Donoho, John M Pauly

Magn Reson Med· December 2007

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Morphological component analysis: an adaptive thresholding strategy.
Jérôme Bobin, Jean-Luc Starck, Jalal M Fadili, Yassir Moudden, David L Donoho

IEEE Trans Image Process· November 2007

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NMR data processing using iterative thresholding and minimum l(1)-norm reconstruction.
Alan S Stern, David L Donoho, Jeffrey C Hoch

J Magn Reson· October 2007

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Virtual Northern analysis of the human genome.
Evan H Hurowitz, Iddo Drori, Victoria C Stodden, David L Donoho, Patrick O Brown

PLoS One· May 2007

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Image decomposition via the combination of sparse representations and a variational approach.
Jean-Luc Starck, Michael Elad, David L Donoho

IEEE Trans Image Process· October 2005

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Neighborliness of randomly projected simplices in high dimensions.
David L Donoho, Jared Tanner

Proc Natl Acad Sci U S A· July 2005

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Sparse nonnegative solution of underdetermined linear equations by linear programming.
David L Donoho, Jared Tanner

Proc Natl Acad Sci U S A· July 2005

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Deblocking of block-transform compressed images using weighted sums of symmetrically aligned pixels.
Amir Z Averbuch, Alon Schclar, David L Donoho

IEEE Trans Image Process· February 2005

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Hessian eigenmaps: locally linear embedding techniques for high-dimensional data.
David L Donoho, Carrie Grimes

Proc Natl Acad Sci U S A· May 2003

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Optimally sparse representation in general (nonorthogonal) dictionaries via l minimization.
David L Donoho, Michael Elad

Proc Natl Acad Sci U S A· March 2003

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