Results 31 to 40 of about 26,263 (305)
Coexisting DCIS and IDC samples are profiled using spatial transcriptomics, single‐cell RNA sequencing, and single‐cell DNA sequencing. Integrative multi‐omics analysis reveals distinct malignant epithelial and microenvironmental features between DCIS and IDC, which are further validated using Xenium and multiplex immunohistochemistry.
Ning Zhang +18 more
wiley +1 more source
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source
Rgbp is an R package that provides estimates and verifiable confidence intervals for random effects in two-level conjugate hierarchical models for overdispersed Gaussian, Poisson, and binomial data.
Hyungsuk Tak, Joseph Kelly, Carl Morris
doaj +1 more source
ABSTRACT Background The impact of presumptive coverage policies for work‐related mental health disorders has not been extensively studied to date. Using data from the Association of Workers’ Compensation Boards of Canada (AWCBC), our objectives were to describe the evolution of compensated mental health conditions, and to explore the association ...
Quentin Durand‐Moreau +3 more
wiley +1 more source
Scaling limits for infinite-server systems in a random environment
This paper studies the effect of an overdispersed arrival process on the performance of an infinite-server system. In our setup, a random environment is modeled by drawing an arrival rate Λ from a given distribution every Δ time units, yielding an i.i.d.
Mariska Heemskerk +2 more
doaj +1 more source
ABSTRACT Most adults with neurological disability rely on general practitioners for managing and preventing health complications. This study analysed patterns of general practice service utilisation among National Disability Insurance Scheme (NDIS) participants with neurological disability and compared these with people who are not NDIS participants ...
Stacey Oliver +8 more
wiley +1 more source
CONWAY-MAXWELL POISSON REGRESSION MODELING OF INFANT MORTALITY IN SOUTH SULAWESI
Overdispersion is a common problem in count data that can lead to inaccurate parameter estimates in Poisson regression models. Quasi-Poisson and negative binomial regressions are often used to address overdispersion but have limitations, especially with ...
Oktaviana Oktaviana +4 more
doaj +1 more source
Aim To quantify between‐practice variation in potentially inappropriate prescribing (PIP) among middle‐aged adults (45–64 years) in UK general practice, and to identify patient‐ and practice‐level characteristics associated with PIP. Methods Repeated cross‐sectional study using linked data from the Lambeth DataNet and Quality Outcomes Framework across ...
Ryan Jayesinghe +6 more
wiley +1 more source
IntroductionSpecies distribution in alpine areas is constrained by multiple abiotic and biotic stressors. This leads to discrepant assembly patterns between different locations and study objects as opposite niche-based processes—limiting similarity and ...
Wen-Yu Song +9 more
doaj +1 more source
Testing for zero-modification in count regression models [PDF]
Count data often exhibit overdispersion and/or require an adjustment for zero outcomes with respect to a Poisson model. Zero-modified Poisson (ZMP) and zero-modified generalized Poisson (ZMGP) regression models are useful classes of models for such ...
Min, Aleksey, Czado, Claudia
core +1 more source

