Robert Tibshirani

Manuel A. Rivas

Bioinform., November, 2021

De novo mutational signature discovery in tumor genomes using SparseSignatures.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2021

LassoNet: A Neural Network with Feature Sparsity.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

MassExplorer: a computational tool for analyzing desorption electrospray ionization mass spectrometry data.

[BibT_eX]

[DOI]

Vishnu Shankar

Richard N. Zare

Bioinform., 2021

Survival analysis on rare events using group-regularized multi-response Cox regression.

[BibT_eX]

[DOI]

Bioinform., 2021

LassoNet: Neural Networks with Feature Sparsity.

[BibT_eX]

[DOI]

Ismael Lemhadri

Feng Ruan

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions.

[BibT_eX]

[DOI]

Nat. Mach. Intell., 2020

Feature-weighted elastic net: using "features of features" for better prediction.

[BibT_eX]

[DOI]

CoRR, 2020

2019

A neural network with feature sparsity.

[BibT_eX]

[DOI]

Ismael Lemhadri

Feng Ruan

CoRR, 2019

Spectral Overlap and a Comparison of Parameter-Free, Dimensionality Reduction Quality Metrics.

[BibT_eX]

[DOI]

Jonathan Johannemann

CoRR, 2019

Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy.

[BibT_eX]

[DOI]

Bioinform., 2019

2017

Chemical Space Mimicry for Drug Discovery.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2017

2016

An Ordered Lasso and Sparse Time-Lagged Regression.

[BibT_eX]

[DOI]

Xiaotong Suo

Technometrics, 2016

Data Shared Lasso: A novel tool to discover uplift.

[BibT_eX]

[DOI]

Samuel M. Gross

Mohammad Shahrokh Esfahani

Comput. Stat. Data Anal., 2016

Noninvasive Cancer Classification Using Diverse Genomic Features in Circulating Tumor DNA.

[BibT_eX]

[DOI]

Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2014

Sensitivity analysis for inference with partially identifiable covariance matrices.

[BibT_eX]

[DOI]

Max Grazier G'Sell

Shai S. Shen-Orr

Comput. Stat., 2014

2013

Scientific research in the age of omics: the good, the bad, and the sloppy.

[BibT_eX]

[DOI]

Daniela M. Witten

J. Am. Medical Informatics Assoc., 2013

A Component Lasso.

[BibT_eX]

[DOI]

Nadine Hussami

CoRR, 2013

2011

Nearly-Isotonic Regression.

[BibT_eX]

[DOI]

Ryan J. Tibshirani

Holger Höfling

Technometrics, 2011

Supervised multidimensional scaling for visualization, classification, and bipartite ranking.

[BibT_eX]

[DOI]

Daniela M. Witten

Comput. Stat. Data Anal., 2011

2010

Spectral Regularization Algorithms for Learning Large Incomplete Matrices.

[BibT_eX]

[DOI]

Rahul Mazumder

J. Mach. Learn. Res., 2010

DR-Integrator: a new analytic tool for integrating DNA copy number and gene expression data.

[BibT_eX]

[DOI]

Keyan Salari

Jonathan R. Pollack

Bioinform., 2010

2009

Estimation of Sparse Binary Pairwise Markov Networks using Pseudo-likelihoods.

[BibT_eX]

[DOI]

Holger Höfling

J. Mach. Learn. Res., 2009

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition.

[BibT_eX]

[DOI]

Springer Series in Statistics, Springer, ISBN: 9780387848570, 2009

2008

Regularization paths and coordinate descent.

[BibT_eX]

[DOI]

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2007

Margin Trees for High-dimensional Classification.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2007

Disease-specific genomic analysis: identifying the signature of pathologic biology.

[BibT_eX]

[DOI]

Monica Nicolau

Anne-Lise Børresen-Dale

Stefanie S. Jeffrey

Bioinform., 2007

2006

A simple method for assessing sample sizes in microarray experiments.

[BibT_eX]

[DOI]

BMC Bioinform., 2006

2005

43. Who Is the Fastest Man in the World?

[BibT_eX]

[DOI]

Proceedings of the Anthology of Statistics in Sports, 2005

2004

The Entire Regularization Path for the Support Vector Machine.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2004

Cancer characterization and feature set extraction by discriminative margin clustering.

[BibT_eX]

[DOI]

Kamesh Munagala

Patrick O. Brown

BMC Bioinform., 2004

Sample classification from protein mass spectrometry, by 'peak probability contrasts'.

[BibT_eX]

[DOI]

Balasubramanian Narasimhan

Bioinform., 2004

Boosted PRIM with Application to Searching for Oncogenic Pathway of Lung Cancer.

[BibT_eX]

[DOI]

Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004

2003

Machine learning methods applied to DNA microarray data can improve the diagnosis of cancer.

[BibT_eX]

[DOI]

Eric Bair

SIGKDD Explor., 2003

Note on "Comparison of Model Selection for Regression" by Vladimir Cherkassky and Yunqian Ma.

[BibT_eX]

[DOI]

Neural Comput., 2003

1-norm Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002

Independent Components Analysis through Product Density Estimation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Supervised Learning from Microarray Data.

[BibT_eX]

[DOI]

Balasubramanian Narasimhan

Gilbert Chu

Proceedings of the COMPSTAT 2002, 2002

2001

Missing value estimation methods for DNA microarrays.

[BibT_eX]

[DOI]

Bioinform., 2001

The Elements of Statistical Learning: Data Mining, Inference, and Prediction

[BibT_eX]

[DOI]

Springer Series in Statistics, Springer, ISBN: 978-0-387-21606-5, 2001

1998

Coaching variables for regression and classification.

[BibT_eX]

[DOI]

Geoffrey E. Hinton

Stat. Comput., 1998

1997

Classification by Pairwise Coupling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

1996

Discriminant Adaptive Nearest Neighbor Classification.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 1996

A Comparison of Some Error Estimates for Neural Network Models.

[BibT_eX]

[DOI]

Neural Comput., 1996

1995

Discriminant Adaptive Nearest Neighbor Classification and Regression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 8, 1995

1993

An Introduction to the Bootstrap

[BibT_eX]

[DOI]

Bradley Efron