Results 61 to 70 of about 1,793,545 (266)

Disordered but rhythmic—the role of intrinsic protein disorder in eukaryotic circadian timing

open access: yesFEBS Letters, EarlyView.
Unstructured domains known as intrinsically disordered regions (IDRs) are present in nearly every part of the eukaryotic core circadian oscillator. IDRs enable many diverse inter‐ and intramolecular interactions that support clock function. IDR conformations are highly tunable by post‐translational modifications and environmental conditions, which ...
Emery T. Usher, Jacqueline F. Pelham
wiley   +1 more source

An Improved Count-Based Classifier for Categorical Data

open access: yesIEEE Access
The classification of categorical data is a fundamental task in machine learning, with numerous algorithms and techniques available. However, existing approaches often face challenges related to interpretability, scalability, and handling sparse or ...
Sanskriti Sanjay Kumar Singh   +1 more
doaj   +1 more source

Structure learning: some testing problems

open access: yesLietuvos Matematikos Rinkinys, 2005
The work is based on data about the prevalence of congenital anomalies among newborns in Lithuania. The log-linear model is used to assess dependence structure of a subset of categorical variables. It is shown that fitting the log-linear model with just
Marijus Radavičius   +1 more
doaj   +1 more source

Mechanisms of IgE‐mediated food allergy and the role of allergen‐specific B cells

open access: yesFEBS Letters, EarlyView.
Food allergy arises when allergen‐specific B cells preferentially produce immunoglobulin E (IgE) antibodies against harmless foods. This article explains the mechanisms driving IgE‐mediated reactions, highlights the central role of these B cells, and discusses how natural tolerance (NT) and oral immunotherapy (OIT) can reshape allergic immune responses.
Juan‐Felipe López   +2 more
wiley   +1 more source

A new internal clustering validation index for categorical data based on concentration of attribute values

open access: yes工程科学学报, 2019
Clustering is a main task of data mining, and its purpose is to identify natural structures in a dataset. The results of cluster analysis are not only related to the nature of the data itself but also to some priori conditions, such as clustering ...
FU Li-wei, WU Sen
doaj   +1 more source

Transferrin receptor 1‐mediated iron uptake supports thermogenic activation in human cervical‐derived adipocytes

open access: yesFEBS Letters, EarlyView.
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai   +9 more
wiley   +1 more source

Constrained Inference When the Sampled and Target Populations Differ

open access: yesEntropy, 2016
In the analysis of contingency tables, often one faces two difficult criteria: sampled and target populations are not identical and prior information translates to the presence of general linear inequality restrictions. Under these situations, we present
Huijun Yi, Bhaskar Bhattacharya
doaj   +1 more source

Generating Multi-Categorical Samples with Generative Adversarial Networks [PDF]

open access: yes, 2018
We propose a method to train generative adversarial networks on mutivariate feature vectors representing multiple categorical values. In contrast to the continuous domain, where GAN-based methods have delivered considerable results, GANs struggle to ...
Camino, Ramiro   +2 more
core   +1 more source

Tau acetylation at K331 has limited impact on tau pathology in vivo

open access: yesFEBS Letters, EarlyView.
We mapped tau post‐translational modifications in humanized MAPT knock‐in mice and in amyloid‐bearing double knock‐in mice. Acetylation within the repeat domain, particularly around K331, showed modest increases under amyloid pathology. To test functional relevance, we generated MAPTK331Q knock‐in mice.
Shoko Hashimoto   +3 more
wiley   +1 more source

Inconsistency of chi2 test for sparse categorical data under multinomial sampling

open access: yesLietuvos Matematikos Rinkinys, 2011
Simple conditions for the inconsistency of Pearson’s chi2 test in case of very sparse categorical data are given. The conditions illustrate the phenomenon of “reversed consistency”: the greater deviation from the null hypothesis the less power of the ...
Pavel Samusenko
doaj   +1 more source

Home - About - Disclaimer - Privacy