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RStudio r package glmnet
R Package Glmnet, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/r+package+glmnet/r+package+glmnet/pmc11669283-175-14-26
Average 90 stars, based on 1 article reviews
r package glmnet - by Bioz Stars, 2026-10
90/100 stars

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Article Title: Identification of Biomarkers That Modulate Osteogenic Differentiation in Mesenchymal Stem Cells Related to Inflammation and Immunity: A Bioinformatics-Based Comprehensive Study
Article Snippet: LASSO was used to investigate osteogenesis-related biomarkers via the R package “glmnet” R package ( https://mirrors.sjtug.sjtu.edu.cn/cran/web/packages/glmnetSE/index.html , accessed on 15 October 2021) in the train group, while the “pROC” R package ( https://cran.rstudio.com/web/packages/pROC/index.html , accessed on 15 October 2021) was used for computing the area under the curve (AUC) in the train and the test group.

Article Title: A Phenome-Wide Analysis of Healthcare Costs Associated with Inflammatory Bowel Diseases.
Article Snippet: Introduction Crohn’s disease (CD) and ulcerative colitis (UC) are associated with considerable direct healthcare costs.. There have been few comprehensive analyses of all IBDand non-IBD comorbidities that determine direct costs in this population.. Methods We used data from a validated cohort of patients with inflammatory bowel disease (IBD).

Article Title: Craniofacial Development Characteristics in Children with Obstructive Sleep Apnea for Establishment and External Validation of the Prediction Model
Article Snippet: Least absolute shrinkage and selection operator (LASSO) regression was conducted using the R package “glmnet”, and binary logistic regression was performed using the “lrm” function in R Studio.

Article Title: MAPK signaling pathway-based glioma subtypes, machine-learning risk model, and key hub proteins identification.
Article Snippet: The prognostic risk model was constructed with the R package “glmnet”28 using R and R studio software.

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Article Title: Development of a Combined Oxidative Stress and Endoplasmic Reticulum Stress-Related Prognostic Signature for Hepatocellular Carcinoma
Article Snippet: .. Least absolute shrinkage and selection operator (LASSO) Cox and stepwise Cox regression analyses were performed to survey the key prognosis-related qualities and to set up prognostic characteristics using the R package glmnet [ ] (version 1.2, https://cran.r-project.org/web/packages/glmnet/index.html ) and survminer (version 0.4.9, https://cran.rstudio.com/web/packages/survminer/index.html ). ..

Article Title: Development of a Combined Oxidative Stress and Endoplasmic Reticulum Stress-Related Prognostic Signature for Hepatocellular Carcinoma.
Article Snippet: Background: Oxidative stress and endoplasmic reticulum stress are important components of the cellular stress process, which plays a critical role in tumor initiation and progres-

Article Title: An Oxidative Stress-Related Prognostic Signature Predicts Treatment Response and Outcomes for Hepatocellular Carcinoma After Transarterial Chemoembolization
Article Snippet: .. Least absolute shrinkage and selection operator (LASSO) Cox and stepwise Cox regression analyses were performed to evaluate key prognosis-related qualities and to establish prognostic characteristics using the R package glmnet (version 1.2, https://cran.r-project.org/web/packages/glmnet/index.html ) and survminer (version 0.4.9, https://cran.rstudio.com/web/packages/survminer/index.html ). ..



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