Results 41 to 50 of about 1,154,560 (163)

Using Deep Learning for Flexible and Scalable Earthquake Forecasting

Geophysical Research Letters, 2023
Seismology is witnessing explosive growth in the diversity and scale of earthquake catalogs. A key motivation for this community effort is that more data should translate into better earthquake forecasts. Such improvements are yet to be seen.
Kelian Dascher‐Cousineau, Oleksandr Shchur, Emily E. Brodsky, Stephan Günnemann   +3 more
doaj   +1 more source

Development and validation of a risk prediction model for chronic kidney disease among individuals with type 2 diabetes

Scientific Reports, 2022
Many studies had established the chronic kidney disease (CKD) prediction models, but most of them were conducted on the general population and not on patients with type 2 diabetes, especially in Asian populations.
Cheng-Chieh Lin, May Jingchee Niu, Chia-Ing Li, Chiu-Shong Liu, Chih-Hsueh Lin, Shing-Yu Yang, Tsai-Chung Li   +6 more
doaj   +1 more source

The myelin water imaging transcriptome: myelin water fraction regionally varies with oligodendrocyte-specific gene expression

Molecular Brain
Identifying sensitive and specific measures that can quantify myelin are instrumental in characterizing microstructural changes in neurological conditions. Neuroimaging transcriptomics is emerging as a valuable technique in this regard, offering insights
Jaimie J. Lee, Paulina S. Scheuren, Hanwen Liu, Ryan W. J. Loke, Cornelia Laule, Catrina M. Loucks, John L.K. Kramer   +6 more
doaj   +1 more source

Identification of tissue-specific and common methylation quantitative trait loci in healthy individuals using MAGAR

Epigenetics & Chromatin, 2021
Background Understanding the influence of genetic variants on DNA methylation is fundamental for the interpretation of epigenomic data in the context of disease.
Michael Scherer, Gilles Gasparoni, Souad Rahmouni, Tatiana Shashkova, Marion Arnoux, Edouard Louis, Arina Nostaeva, Diana Avalos, Emmanouil T. Dermitzakis, Yurii S. Aulchenko, Thomas Lengauer, Paul A. Lyons, Michel Georges, Jörn Walter   +13 more
doaj   +1 more source

Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks

Hydrology and Earth System Sciences, 2018
. Rainfall–runoff modelling is one of the key challenges in the field of hydrology. Various approaches exist, ranging from physically based over conceptual to fully data-driven models.
Frederik Kratzert, D. Klotz, Claire Brenner, K. Schulz, M. Herrnegger   +4 more
semanticscholar   +1 more source

Rationally Design Thermoelectric Materials Based on Ingenious Machine Learning Methods

Advanced Electronic Materials
Data quality, feature interpretability, and model generalization are critical and challenging for applying machine learning (ML) in the design of high‐efficiency materials.
Yuqing Sun, Xiaorui Chen, Jianzhi Gao, Wenliang Zhu, Minghu Pan   +4 more
doaj   +1 more source

Updated world map of the Köppen-Geiger climate classification

, 2007
. Although now over 100 years old, the classification of climate originally formulated by Wladimir Koppen and modified by his collaborators and successors, is still in widespread use.
M. Peel, B. Finlayson, T. McMahon
semanticscholar   +1 more source

An evaluation of SMOS L-band vegetation optical depth (L-VOD) data sets: high sensitivity of L-VOD to above-ground biomass in Africa

Biogeosciences, 2018
. The vegetation optical depth (VOD) measured at microwave frequencies is related to the vegetation water content and provides information complementary to visible/infrared vegetation indices.
N. Rodríguez-Fernández, A. Mialon, S. Mérmoz, A. Bouvet, P. Richaume, Ahmad Al Bitar, A. Al-Yaari, M. Brandt, T. Kaminski, T. Toan, Y. Kerr, J. Wigneron   +11 more
semanticscholar   +1 more source

PLAZA 4.0: an integrative resource for functional, evolutionary and comparative plant genomics

Nucleic Acids Res., 2017
PLAZA (https://bioinformatics.psb.ugent.be/plaza) is a plant-oriented online resource for comparative, evolutionary and functional genomics. The PLAZA platform consists of multiple independent instances focusing on different plant clades, while also ...
Michiel Van Bel, Tim Diels, Emmelien Vancaester, Lukasz Kreft, Alexander Botzki, Y. Peer, Frederik Coppens, K. Vandepoele   +7 more
semanticscholar   +1 more source

MarkerMap: nonlinear marker selection for single-cell studies

npj Systems Biology and Applications
Single-cell RNA-seq data allow the quantification of cell type differences across a growing set of biological contexts. However, pinpointing a small subset of genomic features explaining this variability can be ill-defined and computationally intractable.
Wilson Gregory, Nabeel Sarwar, George Kevrekidis, Soledad Villar, Bianca Dumitrascu   +4 more
doaj   +1 more source