Robert Tibshirani

Robert Tibshirani (born July 10, 1956) is a professor in the Departments of Statistics and Biomedical Data Science at Stanford University. He was a professor at the University of Toronto from 1985 to 1998. In his work, he develops statistical tools for the analysis of complex datasets, most recently in genomics and proteomics.

His most well-known contributions are the Lasso method, which proposed the use of L1 penalization in regression and related problems, and Significance Analysis of Microarrays. Provided by Wikipedia
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  1. 1
    Semi-supervised methods to predict patient survival from gene expression data.

    Semi-supervised methods to predict patient survival from gene expression data. by Eric Bair, Robert Tibshirani

    Published 2004-04-01
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  2. 2
    Public health factors help explain cross country heterogeneity in excess death during the COVID19 pandemic

    Public health factors help explain cross country heterogeneity in excess death during the COVID19 pandemic by Min Woo Sun, David Troxell, Robert Tibshirani

    Published 2023-09-01
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  3. 3
    Disease signatures are robust across tissues and experiments

    Disease signatures are robust across tissues and experiments by Joel T Dudley, Robert Tibshirani, Tarangini Deshpande, Atul J Butte

    Published 2009-09-01
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  4. 4
    De novo mutational signature discovery in tumor genomes using SparseSignatures.

    De novo mutational signature discovery in tumor genomes using SparseSignatures. by Avantika Lal, Keli Liu, Robert Tibshirani, Arend Sidow, Daniele Ramazzotti

    Published 2021-06-01
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  5. 5
    Gene expression profiling predicts survival in conventional renal cell carcinoma.

    Gene expression profiling predicts survival in conventional renal cell carcinoma. by Hongjuan Zhao, Börje Ljungberg, Kjell Grankvist, Torgny Rasmuson, Robert Tibshirani, James D Brooks

    Published 2006-01-01
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  6. 6
    A fast and scalable framework for large-scale and ultrahigh-dimensional sparse regression with application to the UK Biobank.

    A fast and scalable framework for large-scale and ultrahigh-dimensional sparse regression with application to the UK Biobank. by Junyang Qian, Yosuke Tanigawa, Wenfei Du, Matthew Aguirre, Chris Chang, Robert Tibshirani, Manuel A Rivas, Trevor Hastie

    Published 2020-10-01
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  7. 7
    Significant sparse polygenic risk scores across 813 traits in UK Biobank.

    Significant sparse polygenic risk scores across 813 traits in UK Biobank. by Yosuke Tanigawa, Junyang Qian, Guhan Venkataraman, Johanne Marie Justesen, Ruilin Li, Robert Tibshirani, Trevor Hastie, Manuel A Rivas

    Published 2022-03-01
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  8. 8
    Identification of end‐stage renal disease metabolic signatures from human perspiration

    Identification of end‐stage renal disease metabolic signatures from human perspiration by Vishnu Shankar, Basil Michael, Alessandra Celli, Zhenpeng Zhou, Melanie D. Ashland, Robert Tibshirani, Michael Snyder, Richard N. Zare

    Published 2023-04-01
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  9. 9
    Array-Based Comparative Genomic Hybridization Identifies Localized DNA Amplifications and Homozygous Deletions in Pancreatic Cancer

    Array-Based Comparative Genomic Hybridization Identifies Localized DNA Amplifications and Homozygous Deletions in Pancreatic Cancer by Murali D. Bashyam, Ryan Bair, Young H. Kim, Pei Wang, Tina Hernandez-Boussard, Collins A. Karikari, Robert Tibshirani, Anirban Maitra, Jonathan R. Pollack

    Published 2005-06-01
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  10. 10
    Pancreatic Cancer Surgical Resection Margins: Molecular Assessment by Mass Spectrometry Imaging.

    Pancreatic Cancer Surgical Resection Margins: Molecular Assessment by Mass Spectrometry Imaging. by Livia S Eberlin, Katherine Margulis, Ivette Planell-Mendez, Richard N Zare, Robert Tibshirani, Teri A Longacre, Moe Jalali, Jeffrey A Norton, George A Poultsides

    Published 2016-08-01
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  11. 11
    Mapping lung cancer epithelial-mesenchymal transition states and trajectories with single-cell resolution

    Mapping lung cancer epithelial-mesenchymal transition states and trajectories with single-cell resolution by Loukia G. Karacosta, Benedict Anchang, Nikolaos Ignatiadis, Samuel C. Kimmey, Jalen A. Benson, Joseph B. Shrager, Robert Tibshirani, Sean C. Bendall, Sylvia K. Plevritis

    Published 2019-12-01
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  12. 12
    3'-end sequencing for expression quantification (3SEQ) from archival tumor samples.

    3'-end sequencing for expression quantification (3SEQ) from archival tumor samples. by Andrew H Beck, Ziming Weng, Daniela M Witten, Shirley Zhu, Joseph W Foley, Phil Lacroute, Cheryl L Smith, Robert Tibshirani, Matt van de Rijn, Arend Sidow, Robert B West

    Published 2010-01-01
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  13. 13
    Multimodal data fusion using sparse canonical correlation analysis and cooperative learning: a COVID-19 cohort study

    Multimodal data fusion using sparse canonical correlation analysis and cooperative learning: a COVID-19 cohort study by Ahmet Gorkem Er, Daisy Yi Ding, Berrin Er, Mertcan Uzun, Mehmet Cakmak, Christoph Sadee, Gamze Durhan, Mustafa Nasuh Ozmen, Mine Durusu Tanriover, Arzu Topeli, Yesim Aydin Son, Robert Tibshirani, Serhat Unal, Olivier Gevaert

    Published 2024-05-01
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  14. 14
    CD8+ T cell differentiation status correlates with the feasibility of sustained unresponsiveness following oral immunotherapy

    CD8+ T cell differentiation status correlates with the feasibility of sustained unresponsiveness following oral immunotherapy by Abhinav Kaushik, Diane Dunham, Xiaorui Han, Evan Do, Sandra Andorf, Sheena Gupta, Andrea Fernandes, Laurie Elizabeth Kost, Sayantani B. Sindher, Wong Yu, Mindy Tsai, Robert Tibshirani, Scott D. Boyd, Manisha Desai, Holden T. Maecker, Stephen J. Galli, R. Sharon Chinthrajah, Rosemarie H. DeKruyff, Monali Manohar, Kari C. Nadeau

    Published 2022-11-01
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