Results 91 to 100 of about 4,503,165 (306)
Negative binomial random effects panel regression estimates.
Negative binomial random effects panel regression estimates.
Arjen van Witteloostuijn (836793) +1 more
core +1 more source
Towards a Compositional Framework for Describing Human Phenotypes
The Phenotype Assembly Method (PhenoAM) decomposes phenotype variables into measurable Features and typed Qualifiers, enabling standardized, machine‐readable Phenome Data Elements (PhenoDEs) that preserve measurement context. Applied in the International Human Phenome Project (IHPP), the framework yields 58 371 PhenoDEs and supports component‐level ...
Wanting Hu +11 more
wiley +1 more source
Bivariate negative binomial distributions [PDF]
The thesis summarizes basic properties of the negative binomial distribution, including estimations of unknown parameters which are derived with the help of the method of moments and the maximum likelihood method.
Šír, David
core
Pathological tissue rigidity mechanoprimes microglia by enhancing actin cytoskeleton–nucleus coupling and chromatin opening at rigidity‐responsive cis‐regulatory elements (mechanoCREs). Subsequent NF‐κB/p65 signaling converges on this permissive regulatory state to amplify inflammatory gene expression and microglial activation.
Yu Xuan Meng +15 more
wiley +1 more source
Bounds for median and 50 percetage point of binomial and negative binomial distribution
Binomial, Negative Binomial Distribution Function, Operating Characteristic Function, 50 Percentage Point, Median,
Rainer Göb
core +1 more source
KFO‐Atlas reveals how real‐world aromas are organized as structured mixtures rather than individual molecules. Building on these principles, KFO‐Gen, a generative AI framework, designs perceptually valid aroma formulations and reconstructs meat‐like aromas exclusively from plant‐derived odorants, providing a foundation for mixture‐level studies and AI ...
Jingzhi Zhang +5 more
wiley +1 more source
Negative binomial regression coefficients of nationwide analysis.
Negative binomial regression coefficients of nationwide analysis.
Yanfei Fang (502742) +7 more
core +1 more source
Bayesian multilevel zero-inflated negative binomial regression: Citations.
Bayesian multilevel zero-inflated negative binomial regression: Citations.
Jing Zeng (105826) +2 more
core +1 more source
scGEN combines attribute–structure encoding, adaptive hard‐sample weighting, and regularized zero‐inflated negative binomial loss to resolve ambiguous single‐cell states. In the developing human pituitary, refined annotations reveal Pre.Gonado cells at 7 weeks and previously obscured developmental communication networks.
Fang Huang +16 more
wiley +1 more source
ANALISIS FAKTOR PENYEBAB PENYAKIT TBC DI JAWA BARAT MENGGUNAKAN REGRESI BINOMIAL NEGATIF
The realization of "Indonesia Emas 2045" is significantly determined by the current Golden Generation. It is expected that this generation possesses high competence, quality, and innovation.
Humaira Zeanova +3 more
doaj +1 more source

