A greedy feature selection algorithm for Big Data of high dimensionality

Feature selection for high-dimensional temporal data

(2018) Michail Tsagris et al.   BMC BIOINFORMATICS

Feature Selection with the R Package MXM: Discovering Statistically Equivalent Feature Subsets

(2017) Vincenzo Lagani et al.   Journal of Statistical Software

Best subset selection via a modern optimization lens

(2016) Dimitris Bertsimas et al.   ANNALS OF STATISTICS

Feature subset selection for logistic regression via mixed integer optimization

(2016) Toshiki Sato et al.   COMPUTATIONAL OPTIMIZATION AND APPLICATIONS

Strategies and Principles of Distributed Machine Learning on Big Data

(2016) Eric P. Xing et al.   Engineering

Recent advances and emerging challenges of feature selection in the context of big data

(2015) V. Bolón-Canedo et al.   KNOWLEDGE-BASED SYSTEMS

A New Initiative on Precision Medicine

(2015) Francis S. Collins et al.   NEW ENGLAND JOURNAL OF MEDICINE

A new tool called DISSECT for analysing large genomic data sets using a Big Data approach

(2015) Oriol Canela-Xandri et al.   Nature Communications

Second-generation PLINK: rising to the challenge of larger and richer datasets

(2015) Christopher C Chang et al.   GigaScience

The Emerging "Big Dimensionality"

(2014) Yiteng Zhai et al.   IEEE Computational Intelligence Magazine

Massively parallel feature selection: an approach based on variance preservation

(2013) Zheng Zhao et al.   MACHINE LEARNING

BIOMARKER SIGNATURE IDENTIFICATION IN “OMICS” DATA WITH MULTI-CLASS OUTCOME

(2013) Vincenzo Lagani et al.   Computational and Structural Biotechnology Journal

Estimation for High-Dimensional Linear Mixed-Effects Models Using ℓ1-Penalization

(2011) JÜRG SCHELLDORFER et al.   SCANDINAVIAN JOURNAL OF STATISTICS

Structure-based variable selection for survival data

(2010) Vincenzo Lagani et al.   BIOINFORMATICS

The group lasso for logistic regression

(2010) Lukas Meier et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY