World's Best Scientists 2026 revealed!
Saharon Rosset

Saharon Rosset

D-Index & Metrics

Computer Science

D-Index
42
Citations
27057
World Ranking
8130
National Ranking
132

Overview

Saharon Rosset is affiliated with Tel Aviv University in Israel, contributing extensively to research at the intersection of mathematics, biochemistry, genetics, and molecular biology. Their academic output spans multiple fields, focusing particularly on statistics and probability as well as molecular biology and genetics.

Rosset's research work encompasses various topics including:

  • Statistical Methods and Inference
  • Statistical Methods and Bayesian Inference
  • Statistical Methods in Clinical Trials
  • Genomics and Phylogenetic Studies
  • Genetic diversity and population structure
  • Advanced Statistical Methods and Models
  • Gaussian Processes and Bayesian Inference

The scientist has published several papers across leading journals and venues, among which are:

  • "Surprises in high-dimensional ridgeless least squares interpolation," 2022, The Annals of Statistics
  • "ModelTeller: Model Selection for Optimal Phylogenetic Reconstruction Using Machine Learning," 2020, Molecular Biology and Evolution
  • "The Warburg Effect is the result of faster ATP production by glycolysis than respiration," 2024, Proceedings of the National Academy of Sciences
  • "MULTIPLE ways to correct for MULTIPLE comparisons in MULTIPLE types of studies," 2021, British Journal of Dermatology
  • "On the Cross-Validation Bias due to Unsupervised Preprocessing," 2022, Journal of the Royal Statistical Society Series B (Statistical Methodology)

Frequent publication venues where Rosset's work appears include:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Electronic Journal of Statistics
  • Biometrics
  • Journal of the Royal Statistical Society Series B (Statistical Methodology)

Their collaborations show consistent partnerships with several co-authors, including:

  • Keren Levinstein Hallak
  • Ruth Heller
  • Oren Yuval
  • Assaf Rabinowicz
  • Sriram Sankararaman

The combination of Rosset's wide-ranging expertise in statistical methodology and applied molecular biology reflects an interdisciplinary approach that connects quantitative methods with biological questions.

Best Publications

  • Least angle regression

    Bradley Efron;Trevor Hastie;Iain Johnstone;Robert Tibshirani

  • Sparsity and smoothness via the fused lasso

    Robert Tibshirani;Michael D Saunders;Saharon Rosset;Ji Zhu

  • Multi-class AdaBoost ∗

    Trevor Hastie;Saharon Rosset;Ji Zhu;Hui Zou

  • 1-norm Support Vector Machines

    Ji Zhu;Saharon Rosset;Robert Tibshirani;Trevor J. Hastie

  • The Entire Regularization Path for the Support Vector Machine

    Trevor Hastie;Saharon Rosset;Robert Tibshirani;Ji Zhu

  • Piecewise linear regularized solution paths

    Saharon Rosset;Ji Zhu

  • Surprises in High-Dimensional Ridgeless Least Squares Interpolation.

    Trevor Hastie;Andrea Montanari;Saharon Rosset;Ryan J. Tibshirani

  • Leakage in data mining: Formulation, detection, and avoidance

    Shachar Kaufman;Saharon Rosset;Claudia Perlich;Ori Stitelman

  • lobSTR: a short tandem repeat profiler for personal genomes

    Melissa Gymrek;David Golan;Saharon Rosset;Yaniv Erlich

  • Boosting as a Regularized Path to a Maximum Margin Classifier

    Saharon Rosset;Ji Zhu;Trevor Hastie

  • The Genographic Project Public Participation Mitochondrial DNA Database

    Doron M Behar;Saharon Rosset;Jason Blue-Smith;Oleg Balanovsky

  • Grouped graphical Granger modeling for gene expression regulatory networks discovery

    Aurélie C. Lozano;Naoki Abe;Yan Liu;Saharon Rosset

  • Discovery of fraud rules for telecommunications—challenges and solutions

    Saharon Rosset;Uzi Murad;Einat Neumann;Yizhak Idan

  • Random lasso

    Sijian Wang;Bin Nan;Saharon Rosset;Ji Zhu

  • Cell-type-specific resolution epigenetics without the need for cell sorting or single-cell biology

    Elior Rahmani;Regev Schweiger;Brooke Rhead;Lindsey A. Criswell

  • Customer Lifetime Value Models for Decision Support

    Saharon Rosset;Einat Neumann;Uri Eick;Nurit Vatnik

  • Model selection via the AUC

    Saharon Rosset

  • Margin Maximizing Loss Functions

    Saharon Rosset;Ji Zhu;Trevor J. Hastie

  • Leakage in data mining: formulation, detection, and avoidance

    Shachar Kaufman;Saharon Rosset;Claudia Perlich

  • Population-specific association between a polymorphic variant in ST18, encoding a pro-apoptotic molecule, and pemphigus vulgaris.

    Ofer Sarig;Sivan Bercovici;Lilach Zoller;Ilan Goldberg

  • The Entire Regularization Path for the Support Vector Machine

    Saharon Rosset;Robert Tibshirani;Ji Zhu;Trevor J. Hastie

Frequent Co-Authors

Karl Skorecki
Karl Skorecki Technion – Israel Institute of Technology
Doron M. Behar
Doron M. Behar University of Tartu
Eran Halperin
Eran Halperin University of California, Los Angeles
David E. Golan
David E. Golan Harvard Medical School
Meir Feder
Meir Feder Tel Aviv University
Trevor Hastie
Trevor Hastie Stanford University
Richard Villems
Richard Villems University of Tartu
Robert Tibshirani
Robert Tibshirani Stanford University
Eleazar Eskin
Eleazar Eskin University of California, Los Angeles

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