Results 91 to 100 of about 33,003,501 (342)
How hierarchical models improve point estimates of model parameters at the individual level
Computational models have been used to analyze the data from behavioral experiments. One objective of the use of computational models is to estimate model parameters or internal variables for individual subjects from behavioral data.
K. Katahira
semanticscholar +1 more source
Model-Checking Hierarchical Structures [PDF]
Hierarchical graph definitions allow a modular description of graphs using modules for the specification of repeated substructures. Beside this modularity, hierarchical graph definitions also allow to specify graphs of exponential size using polynomial size descriptions.
openaire +5 more sources
The VHL tumor suppressor at the crossroad of protein folding, aggregation, and cancer
Mutations, environmental stress, and chaperone dysfunction can destabilize pVHL, promoting its conversion from the native folded state into amyloid‐like assemblies. This transition may contribute to protein storage, cell dormancy, survival, and drug resistance.
Lara Abad +2 more
wiley +1 more source
Bringing circuit theory into spatial occupancy models to assess landscape connectivity
Occupancy models were originally developed to better understand species distribution while accounting for imperfect detection. Because species distribution is not only shaped by habitat quality but also by the ability of individuals to reach suitable ...
Maëlis Kervellec +9 more
doaj +1 more source
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso +5 more
wiley +1 more source
Correlations between annual recovery and survival probabilities estimated from tag‐recovery data have been used to quantify the demographic response of exploited populations to harvest. Deane et al.
Cody E. Deane +5 more
doaj +1 more source
bamdit: An R Package for Bayesian Meta-Analysis of Diagnostic Test Data
In this paper we present the R package bamdit. The name of the package stands for "Bayesian meta-analysis of diagnostic test data". bamdit was developed with the aim of simplifying the use of models in meta-analysis, that up to now have demanded great ...
Pablo Emilio Verde
doaj +1 more source
Comparing several approaches for hierarchical classification of proteins with decision trees [PDF]
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
Targeting the EpCAM‐AXL axis to overcome drug resistance in lung cancer
Lung cancer cells often evade therapy by hijacking signaling pathways. We reveal that cleaved EpCAM (sEpCAM) stabilizes the oncogenic protein AXL, driving NF‐κB and STAT3‐mediated chemoresistance. This EpCAM‐AXL axis identifies a high‐risk patient subset with poor prognosis.
Alexa Guerrero‐Alba +5 more
wiley +1 more source
Hierarchical Bayesian models for the estimation of individual risk preferences typically assume that subjects are unconditionally exchangeable: prior to seeing any data, every subject is treated as a draw from a common population distribution. We examine
Xiaoxue Sherry Gao, Glenn W. Harrison
doaj +1 more source

