Results 111 to 120 of about 174,276,385 (305)
Molecular Oncology, EarlyView.This study identifies somatostatin receptor 4 (Sstr4) as a critical tumor suppressor against skin and head/neck cancers (HNSCC, cSCC, and BCC). The loss of Sstr4 removes a check on cell growth, causing hyperactivation of the MAPK‐ERK signaling pathway (↑).
Ali Taqvi +6 more
wiley +1 more source
Modeling, simulation and inference for multivariate time series of counts using trawl processes [PDF]
, 2018 This article presents a new continuous-time modeling framework for multivariate time series of counts which have an infinitely divisible marginal distribution.
Veraart, A
core +1 more source
Calibrating minimum counts and catch‐per‐unit‐effort as indices of moose population trend
Wildlife Society Bulletin, 2016 Monitoring wildlife population trends often involves indices assumed to correlate in proportion to abundance. We used aerial count data and harvest statistics for moose (Alces alces) populations in 16 hunting districts of Montana, USA, spanning 32 years (
Nicholas J. DeCesare +7 more
doaj +1 more source
Modeling and detection of respiratory-related outbreak signatures
BMC Medical Informatics and Decision Making, 2007 Background Time series methods are commonly used to detect disease outbreak signatures (e.g., signals due to influenza outbreaks and anthrax attacks) from varying respiratory-related diagnostic or syndromic data sources.
Fernandez Soledad A +3 more
doaj +1 more source
Molecular Oncology, EarlyView.Loss of NAPRT promotes lung tumor initiation and growth through a noncanonical mechanism, independent of its role in NAD+ biosynthesis. Mechanistically, NAPRT depletion activates the mTORC2‐driven AKT/β‐catenin signaling axis to enhance clonogenic and invasive phenotypes. Furthermore, lung‐specific Naprt deletion significantly increases tumor burden in
Myung Joon Oh +11 more
wiley +1 more source
The combined INAR(p) models for time series of counts
Statistics & Probability Letters, 2008 A new AR(p) model for time series of counts is investigated, the possible marginal distributions of which are those of the DSD family. We determine the autocorrelation structure of the whole model family and analyze two important special cases. A real-data example demonstrates the practical relevance of the new model family.
openaire +1 more source
Molecular Oncology, EarlyView.Incomplete microwave ablation (iMWA) of liver cancer triggers a biphasic progression in residual tumors. At Day 3, the microenvironment is characterized by acute inflammatory responses and extracellular matrix (ECM) remodeling. By Day 14, a profound shift occurs toward oncogenic signal transduction and immunosuppression, marked by macrophage ...
Yu Liu +9 more
wiley +1 more source
Establishing large mammal population trends from heterogeneous count data
Ecology and EvolutionMonitoring population trends is pivotal to effective wildlife conservation and management. However, wildlife managers often face many challenges when analyzing time series of census data due to heterogeneities in sampling methodology, strategy, or ...
R. Pradel +8 more
doaj +1 more source
SARIMA MODELLING APPROACH FOR RAILWAY PASSENGER FLOW FORECASTING
Transport, 2018 In this paper, railway passenger flows are analyzed and a suitable modeling method proposed. Based on historical data composed from monthly passenger counts realized on Serbian railway network it is concluded that the time series has a strong ...
Miloš Milenković +4 more
doaj +1 more source
Molecular Oncology, EarlyView.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