Results 51 to 60 of about 9,468,510 (297)
Modeling Predictors of Latent Classes in Regression Mixture Models [PDF]
Structural Equation Modeling: A Multidisciplinary Journal, 2016 The purpose of the current study is to provide guidance on a process for including latent class predictors in regression mixture models. We first examine the performance of current practice for using the 1-step and 3-step approaches where the direct covariate effect on the outcome is omitted.
Kim, M. +4 more
openaire +4 more sources
Molecular Oncology, EarlyView.Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim +3 more
wiley +1 more source
Bayesian Variable Selection for Latent Class Models [PDF]
Biometrics, 2010 In this article we develop a latent class model with class probabilities that depend on subject-specific covariates. One of our major goals is to identify important predictors of latent classes. We consider methodology that allows estimation of latent classes while allowing for variable selection uncertainty.
Ghosh, Joyee +2 more
openaire +3 more sources
Molecular Oncology, EarlyView.Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley +1 more source
Bayesian Latent Class Models [PDF]
, 2011 The latent class model (LCM) is a statistical method that introduces a set of latent categorical variables. The main advantage of LCM is that conditional on latent variables, the manifest variables are mutually independent of each other.
Xu, Jianfeng
core
poLCA: An R Package for Polytomous Variable Latent Class Analysis
Journal of Statistical Software, 2011 poLCA is a software package for the estimation of latent class and latent class regression models for polytomous outcome variables, implemented in the R statistical computing environment. Both models can be called using a single simple command line.
Drew A. Linzer, Jeffrey B. Lewis
doaj
ADP‐ribosylation: An emerging regulator of the epigenome
Molecular Oncology, EarlyView.ADP‐ribosylation has emerged as a dynamic epigenetic signaling mechanism that modifies histones and chromatin‐associated proteins. Through coordinated PARylation and MARylation, it integrates with other histone modifications to regulate chromatin structure, transcription factor activity, and gene expression, influencing genome function and disease ...
Cristel V. Camacho +2 more
wiley +1 more source
Retrieval and Annotation of Music Using Latent Semantic Models [PDF]
, 2012 PhDThis thesis investigates the use of latent semantic models for annotation and retrieval from collections of musical audio tracks. In particular latent semantic analysis (LSA) and aspect models (or probabilistic latent semantic analysis, pLSA) are ...
Levy, Mark
core +4 more sources
Frontiers in Applied Mathematics and StatisticsBackgroundIdentifying heterogeneity in longitudinal data is critical for understanding diverse trajectories in clinical and epidemiological research. Traditional analytical methods often fail to distinguish latent subpopulations.
Harrid Nkhoma +3 more
doaj +1 more source
Latent class model with application to speaker diarization [PDF]
EURASIP Journal on Audio, Speech, and Music Processing, 2019 In this paper, we apply a latent class model (LCM) to the task of speaker diarization. LCM is similar to Patrick Kenny's variational Bayes (VB) method in that it uses soft information and avoids premature hard decisions in its iterations. In contrast to the VB method, which is based on a generative model, LCM provides a framework allowing both ...
Liang He 0003 +5 more
openaire +3 more sources