Results 131 to 140 of about 377,610 (328)
The COM-negative binomial distribution: modeling overdispersion and ultrahigh zero-inflated count data [PDF]
Huiming Zhang, Kai Tan, Bo Li
openalex +1 more source
ABSTRACT Ensuring an adequate surgical proximal margin (SPM) is crucial in radical gastrectomy for gastric cancer. However, the lack of tactile feedback in laparoscopic distal gastrectomy (LDG) and robotic distal gastrectomy (RDG) poses challenges in precisely determining tumor boundaries, particularly in advanced gastric cancer, where tumor ...
Rie Makuuchi +9 more
wiley +1 more source
Factors Affecting Under-Five Mortality in Ethiopia: A Multilevel Negative Binomial Model
Bisrat Misganew Geremew, Kassahun Alemu Gelaye, Alemakef Wagnew Melesse, Temesgen Yihunie Akalu, Adhanom Gebreegziabher Baraki Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University ...
Geremew BM +4 more
doaj
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
NIMBus: a negative binomial regression based Integrative Method for mutation Burden Analysis [PDF]
Jing Zhang +6 more
openalex +1 more source
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
A statistical and machine learning‐assisted surface‐enhanced Raman scattering (SERS) framework is developed for label‐free quantification of low‐abundance analytes, including proteins. Combining digital SERS event counting with binomial regression and an artificial neural network (ANN) trained on full spectra, the approach achieves picomolar detection ...
Eni Kume, James Rice
wiley +1 more source
Zero-Inflated INGARCH Using Conditional Poisson and Negative Binomial: Data Application [PDF]
Jungeun Yoon, Sun Young Hwang
openalex +1 more source
Abstract Crop insurance is undoubtedly an extremely valuable element in protecting agricultural businesses, but in many cases standard indemnity‐based products have had very low uptake due to high transaction costs elevating premiums to unaffordable levels.
Amogh Prakasha Kumar +2 more
wiley +1 more source
On the estimation of interval censored destructive negative binomial cure model. [PDF]
Treszoks J, Pal S.
europepmc +1 more source

