Cargando…

The prediction of live weight of hair goats through penalized regression methods: LASSO and adaptive LASSO

The least absolute selection and shrinkage operator (LASSO) and adaptive LASSO methods have become a popular model in the last decade, especially for data with a multicollinearity problem. This study was conducted to estimate the live weight (LW) of Hair goats from biometric measurements and to sele...

Descripción completa

Detalles Bibliográficos
Autor principal:	Akkol, Suna
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Copernicus GmbH 2018
Materias:	Original Study
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7065407/ https://www.ncbi.nlm.nih.gov/pubmed/32175452 http://dx.doi.org/10.5194/aab-61-451-2018

Ejemplares similares

LASSO type penalized spline regression for binary data
por: Mullah, Muhammad Abu Shadeque, et al.
Publicado: (2021)

Gene set selection via LASSO penalized regression (SLPR)
por: Frost, H. Robert, et al.
Publicado: (2017)

Seagull: lasso, group lasso and sparse-group lasso regularization for linear regression models via proximal gradient descent
por: Klosa, Jan, et al.
Publicado: (2020)

NeuralLasso: Neural Networks Meet Lasso in Genomic Prediction
por: Mathew, Boby, et al.
Publicado: (2022)

Factors Affecting Exclusive Breastfeeding, Using Adaptive LASSO Regression
por: Maharlouei, Najmeh, et al.
Publicado: (2018)

The Effect of College Students' Adaptability on Nomophobia: Based on Lasso Regression
por: Luo, Jing, et al.
Publicado: (2021)

Sparse Damage Detection with Complex Group Lasso and Adaptive Complex Group Lasso
por: Dimopoulos, Vasileios, et al.
Publicado: (2022)

LassoProt: server to analyze biopolymers with lassos
por: Dabrowski-Tumanski, Pawel, et al.
Publicado: (2016)

IPF-LASSO: Integrative L (1)-Penalized Regression with Penalty Factors for Prediction Based on Multi-Omics Data
por: Boulesteix, Anne-Laure, et al.
Publicado: (2017)

Bayesian Lasso and multinomial logistic regression on GPU
por: Češnovar, Rok, et al.
Publicado: (2017)

Using LASSO Regression to Predict Rheumatoid Arthritis Treatment Efficacy
por: Odgers, David J., et al.
Publicado: (2016)

Privacy-preserving dataset combination and Lasso regression for healthcare predictions
por: van Egmond, Marie Beth, et al.
Publicado: (2021)

Chrom-Lasso: a lasso regression-based model to detect functional interactions using Hi-C data
por: Lu, Jingzhe, et al.
Publicado: (2021)

AUTALASSO: an automatic adaptive LASSO for genome-wide prediction
por: Waldmann, Patrik, et al.
Publicado: (2019)

Logistic LASSO Regression for Dietary Intakes and Breast Cancer
por: McEligot, Archana J., et al.
Publicado: (2020)

Regularized group regression methods for genomic prediction: Bridge, MCP, SCAD, group bridge, group lasso, sparse group lasso, group MCP and group SCAD
por: Ogutu, Joseph O, et al.
Publicado: (2014)

Using LASSO regression to detect predictive aggregate effects in genetic studies
por: Fontanarosa, Joel B, et al.
Publicado: (2011)

Validation of prediction models based on lasso regression with multiply imputed data
por: Musoro, Jammbe Z, et al.
Publicado: (2014)

Stability selection for LASSO with weights based on AUC
por: Kwon, Yonghan, et al.
Publicado: (2023)

Mapping Haplotype-haplotype Interactions with Adaptive LASSO
por: Li, Ming, et al.
Publicado: (2010)

The lasso for high dimensional regression with a possible change point
por: Lee, Sokbae, et al.
Publicado: (2015)

The joint lasso: high-dimensional regression for group structured data
por: Dondelinger, Frank, et al.
Publicado: (2018)

Applying logistic LASSO regression for the diagnosis of atypical Crohn's disease
por: Li, Ying, et al.
Publicado: (2022)

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

Probability genotype imputation method and integrated weighted lasso for QTL identification
por: Demetrashvili, Nino, et al.
Publicado: (2013)

Analysis of long non-coding RNAs in glioblastoma for prognosis prediction using weighted gene co-expression network analysis, Cox regression, and L1-LASSO penalization
por: Liang, Ruqing, et al.
Publicado: (2018)

Underdetermined DOA Estimation Using MVDR-Weighted LASSO
por: Salama, Amgad A., et al.
Publicado: (2016)

Importance-Penalized Joint Graphical Lasso (IPJGL): differential network inference via GGMs
por: Leng, Jiacheng, et al.
Publicado: (2021)

Scalable Log-ratio Lasso Regression Enhances Microbiome Feature Selection for Predictive Models
por: Fei, Teng, et al.
Publicado: (2023)

Discovery and Replication of Gene Influences on Brain Structure Using LASSO Regression
por: Kohannim, Omid, et al.
Publicado: (2012)

Large Unbalanced Credit Scoring Using Lasso-Logistic Regression Ensemble
por: Wang, Hong, et al.
Publicado: (2015)

Dietary Intake and Asthma in Preschoolers: A Logistic Lasso Regression Analysis
por: Qu, Yangming, et al.
Publicado: (2022)

Determining Predictors of Weight Loss in a Behavioral Intervention: A Case Study in the Use of Lasso Regression
por: Lupton-Smith, Carly, et al.
Publicado: (2022)

Genetic Variants Detection Based on Weighted Sparse Group Lasso
por: Che, Kai, et al.
Publicado: (2020)

Orlando di Lasso: Prophetiae Sibyllarum. CD 05472778542/

Adaptive LASSO estimation for functional hidden dynamic geostatistical models
por: Maranzano, Paolo, et al.
Publicado: (2023)

Empirical Bayesian LASSO-logistic regression for multiple binary trait locus mapping
por: Huang, Anhui, et al.
Publicado: (2013)

Identification of feature genes and pathways for Alzheimer's disease via WGCNA and LASSO regression
por: Sun, Hongyu, et al.
Publicado: (2022)

Using LASSO Regression to Estimate the Population-Level Impact of Pneumococcal Conjugate Vaccines
por: Wong, Anabelle, et al.
Publicado: (2023)

Statistical learning with sparsity: the lasso and generalizations
por: Hastie, Trevor, et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_otn4mk22dahjvfrrq684ci6gm3