Results 101 to 110 of about 1,081,758 (246)

Scalable mixed model methods for set-based association studies on large-scale categorical data analysis and its application to exome-sequencing data in UK Biobank. [PDF]

Am J Hum Genet, 2023
Bi W, Zhou W, Zhang P, Sun Y, Yue W, Lee S.   +5 more
europepmc   +1 more source

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

FEBS 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, Mizuki Seo, Gyath Karadsheh, Fachrur Rizal Mahendra, Máté Á Demény, Ferenc Győry, János András Mótyán, László Fésüs, Endre Kristóf, Rini Arianti   +9 more
wiley   +1 more source

Multi-Kernel Learning for Heterogeneous Data

IEEE Access
Multi-kernel learning is an excellent machine learning algorithm widely used in various learning tasks such as classification and regression. Traditional kernel methods mainly focus on numerical data and lack sufficient research on categorical and mixed ...
Chunlan Liao, Shili Peng
doaj   +1 more source

A Framework for Efficient N-Way Interaction Testing in Case/Control Studies With Categorical Data. [PDF]

IEEE Open J Eng Med Biol, 2021
Aristodimou A, Antoniades A, Dardiotis E, Loizidou E, Spyrou G, Votsi C, Kyproula C, Pantzaris M, Grigoriadis N, Hadjigeorgiou G, Kyriakides T, Pattichi C.   +11 more
europepmc   +1 more source

Epigenetic blind spots – the role of DNA methylation dynamics in stem cell‐based models of embryogenesis

FEBS Letters, EarlyView.
Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil, Anna Corrà, Annalisa Scapolatiello, Chengxiang Qiu, Gianluca Amadei   +4 more
wiley   +1 more source

Bayesian Nonparametric Dimensionality Reduction of Categorical Data for Predicting Severity of COVID-19 in Pregnant Women. [PDF]

Proc Eur Signal Process Conf EUSIPCO, 2021
Ajirak M, Heiselman C, Fuchs A, Heiligenstein M, Herrera K, Garretto D, Djurić PM.   +6 more
europepmc   +1 more source

Phosphoinositides and inositol phosphates as molecular glues

FEBS Letters, EarlyView.
Inositol phosphates (IPs) and phosphoinositides (PIPs) regulate diverse eukaryotic processes. Beyond recruiting signaling proteins or acting as structural cofactors, recent studies suggest they mediate protein–protein interactions as natural molecular glues.
Aleshia Seaton‐Terry, Alexander J. Cutright, Mong Na Claire Loi, Jessica Martin, Joseph W. Gilligan, Jakub N. Kubina, Michael J. Arambula, Susanna Tanada Palmu, Daniella Zhou, Raymond D. Blind   +9 more
wiley   +1 more source

Using categorical data analyses in suicide research: Considering clinical utility and practicality. [PDF]

Suicide Life Threat Behav, 2021
Mitchell SM, Cero I, Littlefield AK, Brown SL.   +3 more
europepmc   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar, Xinqi Yan, Lucas F. Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

Proposal of a Method for Transferring High-Quality Scientific Literature Data to Virtual Patient Cases Using Categorical Data Generated by Bernoulli-Distributed Random Values: Development and Prototypical Implementation. [PDF]

JMIR Med Educ, 2023
Schmidt C, Kesztyüs D, Haag M, Wilhelm M, Kesztyüs T.   +4 more
europepmc   +1 more source