Results 41 to 50 of about 33,954 (218)

Disease associations depend on visit type: results from a visit-wide association study

BioData Mining, 2019
Introduction Widespread adoption of Electronic Health Records (EHR) increased the number of reported disease association studies, or Phenome-Wide Association Studies (PheWAS).
Mary Regina Boland, Snigdha Alur-Gupta, Lisa Levine, Peter Gabriel, Graciela Gonzalez-Hernandez   +4 more
doaj   +1 more source

Algebraic implementation of abstract data types

Theoretical Computer Science, 1982
AbstractStarting with a review of the theory of algebraic specifications in the sense of the ADJ-group a new theory for algebraic implementations of abstract data types is presented.While main concepts of this new theory were given already at several conferences this paper provides the full theory of algebraic implementations developed in Berlin except
Hans-Jörg Kreowski, Peter Padawitz, Hartmut Ehrig, Bernd Mahr   +3 more
openaire   +2 more sources

Goodbye flat lymphoma biology

FEBS Letters, EarlyView.
Three‐dimensional (3D) biological systems have become key tools in lymphoma research, offering reliable in vitro and ex vivo platforms to explore pathogenesis and support precision medicine. This review highlights current 3D non‐Hodgkin lymphoma models, detailing their features, advantages, and limitations, and provides a broad perspective on future ...
Carla Faria, Cèlia Dobaño‐López, Patricia Pérez‐Galán, Christine Bezombes   +3 more
wiley   +1 more source

Are we survivors of the sudden past singularity?

European Physical Journal C: Particles and Fields, 2023
In this paper, we investigate the viability of cosmological models featuring a type II singularity that occurs during the past evolution of the Universe.
Adam Balcerzak, Tomasz Denkiewicz, Mateusz Lisaj   +2 more
doaj   +1 more source

On abstract data types presented by multiequations

Theoretical Computer Science, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Michel Hébert, Jiří Rosický, Jiří Adámek   +2 more
openaire   +2 more sources

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

FEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan, Lu Qi, Pierre Zalloua   +2 more
wiley   +1 more source

DeCAF: a novel method to identify cell-type specific regulatory variants and their role in cancer risk

Genome Biology, 2022
Here, we propose DeCAF (DEconvoluted cell type Allele specific Function), a new method to identify cell-fraction (cf) QTLs in tumors by leveraging both allelic and total expression information.
Cynthia A. Kalita, Alexander Gusev
doaj   +1 more source

Data types, abstract data types and their specification problem

Theoretical Computer Science, 1979
AbstractA formal framework is proposed for discussing the algebraic properties of data types. In particular, the specification problem, i.e. the problem how a particular data type can be finitely specified, is discussed. Denotational and operational approaches are compared.
openaire   +2 more sources

Thermostable neutral metalloprotease from Geobacillus sp. EA1 does not share thermolysin's preference for substrates with leucine at the P1′ position

FEBS Letters, EarlyView.
Knowing how proteases recognise preferred substrates facilitates matching proteases to applications. The S1′ pocket of protease EA1 directs cleavage to the N‐terminal side of hydrophobic residues, particularly leucine. The S1′ pocket of thermolysin differs from EA's at only one position (leucine in place of phenylalanine), which decreases cleavage ...
Grant R. Broomfield, Torsten Kleffmann, David J. Saul, Sigurd M. Wilbanks   +3 more
wiley   +1 more source

HBI: a hierarchical Bayesian interaction model to estimate cell-type-specific methylation quantitative trait loci incorporating priors from cell-sorted bisulfite sequencing data

Genome Biology
Methylation quantitative trait loci (meQTLs) quantify the effects of genetic variants on DNA methylation levels. However, most published studies utilize bulk methylation datasets composed of different cell types and limit our understanding of cell-type ...
Youshu Cheng, Biao Cai, Hongyu Li, Xinyu Zhang, Gypsyamber D’Souza, Sadeep Shrestha, Andrew Edmonds, Jacquelyn Meyers, Margaret Fischl, Seble Kassaye, Kathryn Anastos, Mardge Cohen, Bradley E. Aouizerat, Ke Xu, Hongyu Zhao   +14 more
doaj   +1 more source