RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour +2 more
wiley +1 more source
Explore poverty with statistical modeling: The bivariate polynomial binary logit regression (BPBLR)
Logit regression (or logistic regression) is a statistical analysis of categorical data. The binary responses have two categories. We present the Bivariate Polynomial Binary Logit Regression (BPBLR), which extends logit regression by modeling two ...
Vita Ratnasari +3 more
doaj +1 more source
Continuous and binary sets of responses differ in the field
This paper conducts a pre-registered study aimed to compare binary and continuous set of responses in survey questionnaires. Binary responses consist of two possible opposing response options (Yes/No).
Noelia Rivera-Garrido +3 more
doaj +1 more source
Cutaneous Melanoma Drives Metabolic Changes in the Aged Bone Marrow Immune Microenvironment
Melanoma, the deadliest form of skin cancer, increasingly affects older adults. Our study reveals that melanoma induces changes in iron and lipid levels in the bone marrow, impacting immune cell populations and increasing susceptibility to ferroptosis.
Alexis E. Carey +12 more
wiley +1 more source
D-optimal Factorial Designs under Generalized Linear Models [PDF]
Generalized linear models (GLMs) have been used widely for modelling the mean response both for discrete and continuous random variables with an emphasis on categorical response.
Mandal, Abhyuday, Yang, Jie
core
Markov counting models for correlated binary responses [PDF]
We propose a class of continuous-time Markov counting processes for analyzing correlated binary data and establish a correspondence between these models and sums of exchangeable Bernoulli random variables. Our approach generalizes many previous models for correlated outcomes, admits easily interpretable parameterizations, allows different cluster sizes,
Crawford, Forrest W., Zelterman, Daniel
openaire +3 more sources
Tracking Motor Progression and Device‐Aided Therapy Eligibility in Parkinson's Disease
ABSTRACT Objective To characterise the progression of motor symptoms and identify eligibility for device‐aided therapies in Parkinson's disease, using both the 5‐2‐1 criteria and a refined clinical definition, while examining differences across genetic subgroups.
David Ledingham +7 more
wiley +1 more source
Probit Model on Multivariate Binary Response Using Simulated Maximum Likelihood Estimator
In this paper, we discuss probit model on multivariate binary response. We assume that each of n individuals is observed in T responses. Yit is tth response on ith individual/subject and each response is binary.
Jaka Nugraha +2 more
doaj
Developmental, Neuroanatomical and Cellular Expression of Genes Causing Dystonia
ABSTRACT Objective Dystonia is one of the most common movement disorders, with variants in multiple genes identified as causative. However, an understanding of which developmental stages, brain regions, and cell types are most relevant is crucial for developing relevant disease models and therapeutics.
Darren Cameron +5 more
wiley +1 more source
Dynamical response of ultracold interacting fermion-boson mixtures
We analyze the dynamical response of a ultracold binary gas mixture in presence of strong boson-fermion couplings. Mapping the problem onto that of the optical response of a metal/semiconductor electronic degrees of freedom to electromagnetic ...
Ji, Kai, Komnik, Andreas, Maier, Stefan
core +1 more source

