Results 51 to 60 of about 399,077 (314)
Molecular Oncology, EarlyView.In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge +17 more
wiley +1 more source
Monitoring Animal Populations With Cameras Using Open, Multistate, N‐Mixture Models
Ecology and EvolutionRemote cameras have become a mainstream tool for studying wildlife populations. For species whose developmental stages or states are identifiable in photographs, there are opportunities for tracking population changes and estimating demographic rates ...
Alexej P. K. Sirén +12 more
doaj +1 more source
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
Molecular Oncology, EarlyView.This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
Hierarchical confirmatory factor analysis of the flow state scale in exercise [PDF]
, 2000 In this study, we examined the factor structure and internal consistency of the Flow State Scale using responses of exercise participants.This self-report questionnaire consists of nine subscales designed to assess flow in sport and physical activity. It
Terry, PC +5 more
core +1 more source
Prior distributions for variance parameters in hierarchical models [PDF]
Various noninformative prior distributions have been suggested for scale parameters in hierarchical models. We construct a new folded-noncentral- t family of conditionally conjugate priors for hierarchical standard deviation parameters, and then consider
Andrew Gelman
core +3 more sources
Bambi: A Simple Interface for Fitting Bayesian Linear Models in Python
Journal of Statistical Software, 2022 The popularity of Bayesian statistical methods has increased dramatically in recent years across many research areas and industrial applications. This is the result of a variety of methodological advances with faster and cheaper hardware as well as the ...
Tomás Capretto +5 more
doaj +1 more source
Hierarchical Interaction Models
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1990 SUMMARY Lauritzen and Wermuth have proposed a class of models for mixed qualitative and continuous data, defined by two properties: that the continuous variables are normally distributed given the qualitative variables and that a set of conditional independence relations hold between specified pairs of variables.
openaire +2 more sources
A hierarchical model of metacognition. [PDF]
, 2020 I present a novel method of conceptualizing metacognition in a computational hierarchy. Metacognition is commonlydescribed as cognition acting on itself, and correlates with enhanced performance in memory, reasoning, emotional reg-ulation, and motor skills.
Conway-Smith, Brendan, West, Robert
openaire +1 more source
Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
Comparing several approaches for hierarchical classification of proteins with decision trees [PDF]
, 2007 Proteins are the main building blocks of the cell, and perform almost all the functions related to cell activity. Despite the recent advances in Molecular Biology, the function of a large amount of proteins is still unknown. The use of algorithms able to
Carvalho, Andre C. P. L. F. +4 more
core +1 more source