Results 41 to 50 of about 43,162 (235)
Lipid‐Facilitated Opening of the ADAM10 Sheddase Revealed by Enhanced Sampling Simulations
Advanced Science, EarlyView.Phosphatidylserine acts as a lipid trigger to enhance activation of the sheddase ADAM10. By integrating fluorescence spectroscopy assays with enhanced sampling molecular dynamics simulations, this study shows that phosphatidylserine promotes ADAM10 catalytic activity along with expansion of its extracellular domains, enhancing accessibility to scaffold
Adrien Schahl +7 more
wiley +1 more source
A hidden Markov model-based algorithm for identifying tumour subtype using array CGH data
BMC Genomics, 2011 Background The recent advancement in array CGH (aCGH) research has significantly improved tumor identification using DNA copy number data. A number of unsupervised learning methods have been proposed for clustering aCGH samples.
Zhang Ke +5 more
doaj +1 more source
Co-Clustering via Information-Theoretic Markov Aggregation [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2019 accepted for publication in IEEE Trans.
Clemens Blochl +2 more
openaire +2 more sources
Advanced Science, EarlyView.This study performs pan‐viromic profiling of 14,529 samples from 5,710 domestic herbivores across five Chinese provinces, establishing the DhCN‐Virome (1,085,360 viral metagenomes). It reveals species/sample‐specific viromic signatures and cross‐species transmission dynamics, aiding unified disease control.
Yue Sun +19 more
wiley +1 more source
FORECASTING NICKEL PRICES WITH THE AUTOMATIC CLUSTERING FUZZY TIME SERIES MARKOV APPROACH
BarekengNickel was a critical raw material used in a wide range of industries. The price movement of nickel tends to fluctuate and remain uncertain due to market conditions varying over time.
M. Al Haris +3 more
doaj +1 more source
Methods in Ecology and Evolution, 2023 Transcriptome sequencing technologies have revolutionized the field of phylogenomics by facilitating the identification of homologous genes for species without whole genome sequences.
Jingting Shen +3 more
doaj +1 more source
The Metagenomic Binning Problem: Clustering Markov Sequences [PDF]
2019 IEEE Information Theory Workshop (ITW), 2019 The goal of metagenomics is to study the composition of microbial communities, typically using high-throughput shotgun sequencing. In the metagenomic binning problem, we observe random substrings (called contigs) from a mixture of genomes and want to cluster them according to their genome of origin.
Grant Greenberg, Ilan Shomorony
openaire +2 more sources
NanoLoop: A Deep Learning Framework Leveraging Nanopore Sequencing for Chromatin Loop Prediction
Advanced Science, EarlyView.Chromatin loops are central to gene regulation and 3D genome organization. Leveraging Nanopore sequencing's ability to jointly capture DNA sequence and methylation, we present NanoLoop, the first framework for genome‐wide chromatin loop prediction using Nanopore data.
Wenjie Huang +5 more
wiley +1 more source
INFORMATION TECHNOLOGY FOR STATISTICAL CLUSTER ANALYSIS OF INFORMATION IN COMPLEX NETWORKS
Компютерні системи та інформаційні технології, 2022 Information technology has been developed, which is used to collect, process and save large volumes of data from the web space. With the help of technology, the statistical characteristics of various segments of the web space and their cluster structure ...
OKSANA KYRYCHENKO
doaj +1 more source
Clustering Multivariate Time Series Using Hidden Markov Models
International Journal of Environmental Research and Public Health, 2014 In this paper we describe an algorithm for clustering multivariate time series with variables taking both categorical and continuous values. Time series of this type are frequent in health care, where they represent the health trajectories of individuals.
Ghassem Pour, Shima (S29986) +2 more
openaire +3 more sources