Evaluation of the lasso and the elastic net in genome-wide association studies

Evaluation of the lasso and the elastic net in genome-wide association studies

The number of publications performing genome-wide association studies (GWAS) has increased dramatically. Penalized regression approaches have been developed to overcome the challenges caused by the high dimensional data, but these methods are relatively new in the GWAS area. In this study we have co...

Full description

Bibliographic Details
Main Authors:	Patrik eWaldmann, Gábor eMészáros, Birgit eGredler, Christian eFürst, Johann eSölkner
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2013-12-01
Series:	Frontiers in Genetics
Subjects:	Cattle GWAS simulation population structure elastic net LASSO
Online Access:	http://journal.frontiersin.org/Journal/10.3389/fgene.2013.00270/full

Similar Items

Corrigendum: Evaluation of the lasso and the elastic net in genome-wide association studies
by: Patrik eWaldmann, et al.
Published: (2014-10-01)

The Higher-Order of Adaptive Lasso and Elastic Net Methods for Classification on High Dimensional Data
by: Autcha Araveeporn
Published: (2021-05-01)

Resting-State Brain Functional Hyper-Network Construction Based on Elastic Net and Group Lasso Methods
by: Hao Guo, et al.
Published: (2018-05-01)

A predictive model, and predictors of under-five child malaria prevalence in Ghana: How do LASSO, Ridge and Elastic net regression approaches compare?
by: Justice Moses K. Aheto, et al.
Published: (2021-09-01)

AUTALASSO: an automatic adaptive LASSO for genome-wide prediction
by: Patrik Waldmann, et al.
Published: (2019-04-01)

Performance of LASSO and Elastic net estimators in Misspecified Linear Regression Model
by: M. Kayanan, et al.
Published: (2019-09-01)

LASSO與其衍生方法之特性比較
by: 黃昭勳, et al.

Lasso and its Role as Nets in Religious Texts By
by: prof.Magda Gad
Published: (2012-01-01)

Discovery and replication of gene influences on brain structure using LASSO regression
by: Omid eKohannim, et al.
Published: (2012-08-01)

Resampling-based tests for Lasso in genome-wide association studies
by: Jaron Arbet, et al.
Published: (2017-07-01)

Elastic Net Regression and Empirical Mode Decomposition for Enhancing the Accuracy of the Model Selection
by: Abdullah S. Al-Jawarneh, et al.
Published: (2021-04-01)

Combination of Ensembles of Regularized Regression Models with Resampling-Based Lasso Feature Selection in High Dimensional Data
by: Abhijeet R Patil, et al.
Published: (2020-01-01)

Threshold Regression Estimation via Lasso, Elastic-Net, and Lad-Lasso: A Simulation Study with Applications to Urban Traffic Data
Published: (2015)

Hi-LASSO: High-Dimensional LASSO
by: Youngsoon Kim, et al.
Published: (2019-01-01)

分類蛋白質質譜資料變數選取的探討
by: 林婷婷

Short-Term Load Forecasting Based on Elastic Net Improved GMDH and Difference Degree Weighting Optimization
by: Wei Liu, et al.
Published: (2018-09-01)

A Two-Stage Mutual Information Based Bayesian Lasso Algorithm for Multi-Locus Genome-Wide Association Studies
by: Hongping Guo, et al.
Published: (2020-03-01)

Sparse Damage Detection with Complex Group Lasso and Adaptive Complex Group Lasso
by: Deckers, E., et al.
Published: (2022)

Sparse Damage Detection with Complex Group Lasso and Adaptive Complex Group Lasso
by: Deckers, E., et al.
Published: (2022)

Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent
by: Noah Simon, et al.
Published: (2011-03-01)

LASSOING MIXTURES AND BAYESIAN ROBUST ESTIMATION
by: Xing, Guan
Published: (2007)

Adding bias to reduce variance in psychological results: A tutorial on penalized regression
by: Helwig, Nathaniel E.
Published: (2017-01-01)

Spatio Temporal EEG Source Imaging with the Hierarchical Bayesian Elastic Net and Elitist Lasso Models
by: Deirel Paz-Linares, et al.
Published: (2017-11-01)

Using LASSO to estimate marker effects for Genomic Selection
by: Ben J. Hayes, et al.
Published: (2010-01-01)

Applied the additive hazard model to predict the survival time of patient with diffuse large B- cell lymphoma and determine the effective genes, using microarray data
by: Arefa Jafarzadeh Kohneloo, et al.
Published: (2015-09-01)

Forecasting medium-term electricity demand in a South African electric power supply system
by: Caston Sigauke
Published: (2017-12-01)

Bayesian Lasso for Detecting Rare Genetic Variants Associated with Common Diseases
by: Zhou, Xiaofei
Published: (2019)

EM Adaptive LASSO – A Multilocus Modeling Strategy for Detecting SNPs Associated With Zero-inflated Count Phenotypes
by: Himel eMallick, et al.
Published: (2016-03-01)

Statistical Properties of Lasso-Shape Polymers and Their Implications for Complex Lasso Proteins Function
by: Pawel Dabrowski-Tumanski, et al.
Published: (2019-04-01)

A Review of Linear Regression and some Basic Proofs for Lasso
by: He, Shiquan
Published: (2010)

Immunological Tolerance - Grand Challenges
by: Harald eVon Boehmer, et al.
Published: (2010-11-01)

Fuzzy Gaussian Lasso clustering with application to cancer data
by: Miin-Shen Yang, et al.
Published: (2020-01-01)

Data integration by multi-tuning parameter elastic net regression
by: Jie Liu, et al.
Published: (2018-10-01)

A statistical learning approach for stock selection in the Chinese stock market
by: Wenbo Wu, et al.
Published: (2019-04-01)

Predicting survival times for neuroblastoma patients using RNA-seq expression profiles
by: Tyler Grimes, et al.
Published: (2018-05-01)

Two-Stage Classification with SIS Using a New Filter Ranking Method in High Throughput Data
by: Sangjin Kim, et al.
Published: (2019-05-01)

Statistical Discovery of Biomarkers in Metagenomics
by: Abdul Wahab, Ahmad Hakeem
Published: (2015)

Local-Scale Cereal Yield Forecasting in Italy: Lessons from Different Statistical Models and Spatial Aggregations
by: David García-León, et al.
Published: (2020-06-01)

Environmental Factors Associated With Nitrogen Fixation Prediction in Soybean
by: André Froes de Borja Reis, et al.
Published: (2021-06-01)

Ensemble Linear Subspace Analysis of High-Dimensional Data
by: S. Ejaz Ahmed, et al.
Published: (2021-03-01)