Cargando…

Identification of miRNA biomarkers for breast cancer by combining ensemble regularized multinomial logistic regression and Cox regression

BACKGROUND: Breast cancer is one of the most common cancers in women. It is necessary to classify breast cancer subtypes because different subtypes need specific treatment. Identifying biomarkers and classifying breast cancer subtypes is essential for developing appropriate treatment methods for pat...

Descripción completa

Detalles Bibliográficos
Autores principales:	Li, Juntao, Zhang, Hongmei, Gao, Fugen
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2022
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580207/ https://www.ncbi.nlm.nih.gov/pubmed/36258162 http://dx.doi.org/10.1186/s12859-022-04982-7

Ejemplares similares

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

Correlated mutations via regularized multinomial regression
por: Sreekumar, Janardanan, et al.
Publicado: (2011)

Validation and updating of risk models based on multinomial logistic regression
por: Van Calster, Ben, et al.
Publicado: (2017)

Robust Minimum Divergence Estimation for the Multinomial Circular Logistic Regression Model
por: Castilla, Elena, et al.
Publicado: (2023)

Multinomial and ordinal Logistic regression analyses with multi-categorical variables using R
por: Liang, Jiaqi, et al.
Publicado: (2020)

Evaluation of multinomial logistic regression models for predicting causative pathogens of food poisoning cases
por: INOUE, Hideya, et al.
Publicado: (2018)

Regularized logistic regression with network-based pairwise interaction for biomarker identification in breast cancer
por: Wu, Meng-Yun, et al.
Publicado: (2016)

Supporting Regularized Logistic Regression Privately and Efficiently
por: Li, Wenfa, et al.
Publicado: (2016)

RAMRSGL: A Robust Adaptive Multinomial Regression Model for Multicancer Classification
por: Wang, Lei, et al.
Publicado: (2021)

Multinomial logistic regression approach to haplotype association analysis in population-based case-control studies
por: Chen, Yi-Hau, et al.
Publicado: (2006)

Minimum sample size for developing a multivariable prediction model using multinomial logistic regression
por: Pate, Alexander, et al.
Publicado: (2023)

Adaptive group-regularized logistic elastic net regression
por: Münch, Magnus M, et al.
Publicado: (2019)

Trinculo: Bayesian and frequentist multinomial logistic regression for genome-wide association studies of multi-category phenotypes
por: Jostins, Luke, et al.
Publicado: (2016)

Logistic regression with image covariates via the combination of L(1) and Sobolev regularizations
por: An, Baiguo, et al.
Publicado: (2020)

Determinants of infant feeding practices among Black mothers living with HIV: a multinomial logistic regression analysis
por: Etowa, Josephine, et al.
Publicado: (2021)

Fertility decision and its associated factors in Sub-Saharan Africa: a multilevel multinomial logistic regression analysis
por: Teshale, Achamyeleh Birhanu, et al.
Publicado: (2022)

Analysing outlier communities to child birth weight outcomes in Malawi: application of multinomial logistic regression model diagnostics
por: Sakala, Natasha, et al.
Publicado: (2022)

Pathway-gene identification for pancreatic cancer survival via doubly regularized Cox regression
por: Gong, Haijun, et al.
Publicado: (2014)

Which to select when evaluating risk factors for permanent stoma, COX regression model or logistic regression model?
por: Hu, Kang, et al.
Publicado: (2021)

Bioinformatics method combined with logistic regression analysis reveal potentially important miRNAs in ischemic stroke
por: Wei, Zhiqiang, et al.
Publicado: (2020)

Network-based logistic regression integration method for biomarker identification
por: Zhang, Ke, et al.
Publicado: (2018)

Factors associated with unmet need for family planning in sub-Saharan Africa: A multilevel multinomial logistic regression analysis
por: Teshale, Achamyeleh Birhanu
Publicado: (2022)

Estimating Mode of Transport in Daily Mobility during the COVID-19 Pandemic Using a Multinomial Logistic Regression Model
por: Mazanec, Jaroslav, et al.
Publicado: (2023)

Retrospective Analysis of the Outcome of Hospitalized COVID-19 Patients with Coexisting Metabolic Syndrome and HIV Using Multinomial Logistic Regression
por: Mphekgwana, Peter M., et al.
Publicado: (2023)

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

Awareness Level of Business Students regarding Drinking Water Safety and Associated Adulteration Accidents: A Multinomial Logistic Regression Approach
por: Zahid, R. M. Ammar, et al.
Publicado: (2022)

Determinants of place birth: a multinomial logistic regression and spatial analysis of the Ethiopian mini demographic and health survey data, 2019
por: Gudayu, Temesgen Worku
Publicado: (2022)

Association between air pollution and COVID‐19 disease severity via Bayesian multinomial logistic regression with partially missing outcomes
por: Hoskovec, Lauren, et al.
Publicado: (2022)

Factors Associated with Low Uptake of Medical Male Circumcision Among Adolescent Boys in Tanzania: A Multinomial Logistic Regression Modeling
por: Bendera, Anderson, et al.
Publicado: (2022)

Modern contraceptive method utilization and determinant factors among women in Ethiopia: Multinomial logistic regression mini- EDHS-2019 analysis
por: Negash, Berhan Tsegaye, et al.
Publicado: (2023)

Dirichlet negative multinomial regression for overdispersed correlated count data
por: Farewell, Daniel M., et al.
Publicado: (2013)

Biomarker discovery for predicting spontaneous preterm birth from gene expression data by regularized logistic regression
por: Li, Lingyu, et al.
Publicado: (2020)

Applied logistic regression
por: Hosmer, David W, et al.
Publicado: (2013)

Applied logistic regression /
por: Hosmer, David W.
Publicado: (2000)

Comprehensible Predictive Modeling Using Regularized Logistic Regression and Comorbidity Based Features
por: Stiglic, Gregor, et al.
Publicado: (2015)

Maternal and anaesthesia-related risk factors and incidence of spinal anaesthesia-induced hypotension in elective caesarean section: A multinomial logistic regression
por: Fakherpour, Atousa, et al.
Publicado: (2018)

Prevalence and determinants of unmet need for family planning among married women in Ghana-a multinomial logistic regression analysis of the GDHS, 2014
por: Wulifan, Joseph K., et al.
Publicado: (2019)

Determinants of communication on sexual issues between adolescents and their parents in the Adaklu district of the Volta region, Ghana: a multinomial logistic regression analysis
por: Klu, Desmond, et al.
Publicado: (2022)

Intrinsic Dimension Estimation-Based Feature Selection and Multinomial Logistic Regression for Classification of Bearing Faults Using Compressively Sampled Vibration Signals
por: Ahmed, Hosameldin O. A., et al.
Publicado: (2022)

Parental Perceptions of Youths’ Desirable Characteristics in Relation to Type of Leisure: A Multinomial Logistic Regression Analysis of Martial-Art-Practicing Youths
por: Mickelsson, Tony Blomqvist
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_8v9j6h1v26ucf4e8n330l3v3pj