Results 121 to 130 of about 10,424,890 (336)
Sequential Patterns Postprocessing for Structural Relation Patterns Mining
Sequential patterns mining is an important data-mining technique used to identify frequently observed sequential occurrence of items across ordered transactions over time. It has been extensively studied in the literature, and there exists a diversity of
Weiru Chen +3 more
core +1 more source
AprioriAllPkg: A Python package for mining sequential patterns
This work presents a software package designed to support transparency, education, and methodological reproducibility in sequential pattern mining.
Aleksander Kruczkowski, Pawel Weichbroth
doaj +1 more source
The process of internalization of the Shiga toxin A subunit via formation of a complex with the Shiga toxin B subunit, which specifically binds to the Gb3 receptor. The peptide is designed to act as a carrier of drugs into cancer cells. Here, we explored the potential of peptides derived from the catalytic A subunit of Shiga toxin (STxA) to be drug ...
Giulia Opassi +6 more
wiley +1 more source
Investigating transcription factor dynamics in health and disease using FRAP
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
Fuzzy Sequential Pattern Mining over Quantitative Streams
Sequential pattern mining is an interesting data mining problem with many real-world applications. Though new applications introduce a new form of data called data stream, no study has been reported on mining sequential patterns from the quantitative ...
Omid Shakeri +3 more
doaj
Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions
The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang +4 more
wiley +1 more source
Detection of Trends of Internet Traffic Using Sequential Patterns
We propose a new method of possible trend detection in the internet traffic by using sequential pattern analysis. The main steps of this method, such as the template pattern discovery in time-series data and pattern comparison and matching for sequential
Lauks, Gunārs, Jeļinskis, Jans
core
The Cyclic Model Analysis on Sequential Patterns
Sequential pattern mining has been used to predict various aspects of customer buying behavior for a long time. Discovered sequence reveals the chronological relation between items and provides valuable information to aid in developing marketing ...
Chiang, Ding-An; Wang, Cheng-Tzu; Chen, Shao-Ping; Chen, Chun-Chi
core +1 more source
Graph-based discovery of ontology change patterns [PDF]
Ontologies can support a variety of purposes, ranging from capturing conceptual knowledge to the organisation of digital content and information. However, information systems are always subject to change and ontology change management can pose challenges.
Abgaz, Yalemisew +2 more
core +2 more sources
Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta +3 more
wiley +1 more source

