Cargando…

Bayesian Hyper-LASSO Classification for Feature Selection with Application to Endometrial Cancer RNA-seq Data

Feature selection is demanded in many modern scientific research problems that use high-dimensional data. A typical example is to identify gene signatures that are related to a certain disease from high-dimensional gene expression data. The expression of genes may have grouping structures, for examp...

Descripción completa

Detalles Bibliográficos
Autores principales:	Jiang, Lai, Greenwood, Celia M. T., Yao, Weixin, Li, Longhai
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7297975/ https://www.ncbi.nlm.nih.gov/pubmed/32546735 http://dx.doi.org/10.1038/s41598-020-66466-z

Ejemplares similares

Comparing Bayesian Variable Selection to Lasso Approaches for Applications in Psychology
por: Bainter, Sierra A., et al.
Publicado: (2023)

Classification and Selection of Biomarkers in Genomic Data Using LASSO
por: Ghosh, Debashis, et al.
Publicado: (2005)

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

Ridge, Lasso and Bayesian additive-dominance genomic models
por: Azevedo, Camila Ferreira, et al.
Publicado: (2015)

Analysis of Twitter data with the Bayesian fused graphical lasso
por: Aflakparast, Mehran, et al.
Publicado: (2020)

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

Integrating LASSO Feature Selection and Soft Voting Classifier to Identify Origins of Replication Sites
por: Yao, Yingying, et al.
Publicado: (2022)

Evaluation of logistic Bayesian LASSO for identifying association with rare haplotypes
por: Biswas, Swati, et al.
Publicado: (2014)

Bayesian LASSO, Scale Space and Decision Making in Association Genetics
por: Pasanen, Leena, et al.
Publicado: (2015)

Simultaneous Channel and Feature Selection of Fused EEG Features Based on Sparse Group Lasso
por: Wang, Jin-Jia, et al.
Publicado: (2015)

Sparse feature selection for classification and prediction of metastasis in endometrial cancer
por: Ahsen, Mehmet Eren, et al.
Publicado: (2017)

Fast empirical Bayesian LASSO for multiple quantitative trait locus mapping
por: Cai, Xiaodong, et al.
Publicado: (2011)

An Improved Version of Logistic Bayesian LASSO for Detecting Rare Haplotype-Environment Interactions with Application to Lung Cancer
por: Zhang, Yuan, et al.
Publicado: (2015)

Scoring relevancy of features based on combinatorial analysis of Lasso with application to lymphoma diagnosis
por: Zare, Habil, et al.
Publicado: (2013)

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

Logistic Bayesian LASSO for detecting association combining family and case-control data
por: Zhou, Xiaofei, et al.
Publicado: (2018)

Identifying the Driving Factors of Black Bloom in Lake Bay through Bayesian LASSO
por: Wang, Liang, et al.
Publicado: (2019)

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

Dictionary learning LASSO for feature selection with application to hepatocellular carcinoma grading using contrast enhanced magnetic resonance imaging
por: Lei, Lei, et al.
Publicado: (2023)

Feature selection for RNA cleavage efficiency at specific sites using the LASSO regression model in Arabidopsis thaliana
por: Ueno, Daishin, et al.
Publicado: (2021)

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

Sparse Bayesian classification and feature selection for biological expression data with high correlations
por: Yang, Xian, et al.
Publicado: (2017)

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

Network-Constrained Group Lasso for High-Dimensional Multinomial Classification with Application to Cancer Subtype Prediction
por: Tian, Xinyu, et al.
Publicado: (2015)

Hyper-seq: A novel, effective, and flexible marker-assisted selection and genotyping approach
por: Zou, Meiling, et al.
Publicado: (2022)

Detecting longitudinal effects of haplotypes and smoking on hypertension using B-splines and Bayesian LASSO
por: Xia, Shuang, et al.
Publicado: (2014)

Logistic Bayesian LASSO for Genetic Association Analysis of Data from Complex Sampling Designs
por: Zhang, Yuan, et al.
Publicado: (2017)

A Multiple-Trait Bayesian Lasso for Genome-Enabled Analysis and Prediction of Complex Traits
por: Gianola, Daniel, et al.
Publicado: (2020)

LASSO Homotopy-Based Sparse Representation Classification for fNIRS-BCI
por: Gulraiz, Asma, et al.
Publicado: (2022)

Evaluating statistical learning methods for cell type classification and feature selection using RNA-seq data
por: Chen, Hao
Publicado: (2014)

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

Hi-LASSO: High-performance python and apache spark packages for feature selection with high-dimensional data
por: Jo, Jongkwon, et al.
Publicado: (2022)

Gene Regulatory Network Reconstruction Using Bayesian Networks, the Dantzig Selector, the Lasso and Their Meta-Analysis
por: Vignes, Matthieu, et al.
Publicado: (2011)

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

Bivariate quantitative Bayesian LASSO for detecting association of rare haplotypes with two correlated continuous phenotypes
por: Sajal, Ibrahim Hossain, et al.
Publicado: (2023)

LaSSO, a strategy for genome-wide mapping of intronic lariats and branch points using RNA-seq
por: Bitton, Danny A., et al.
Publicado: (2014)

Applications of Bayesian Gene Selection and Classification with Mixtures of Generalized Singular g-Priors
por: Chien, Wen-Kuei, et al.
Publicado: (2013)

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

On the use of QDE-SVM for gene feature selection and cell type classification from scRNA-seq data
por: Ng, Grace Yee Lin, et al.
Publicado: (2023)

MCMC implementation of the optimal Bayesian classifier for non-Gaussian models: model-based RNA-Seq classification
por: Knight, Jason M, et al.
Publicado: (2014)

Cannot write session to /tmp/vufind_sessions/sess_i88dijou82meglct75757ae7to