Results 41 to 50 of about 18,151,738 (262)

Clustering of Time Series Data for Enhanced Forecasting: A Comparative Study and Practical Applications

open access: yes, 2023
reservedTime series forecasting plays a pivotal role in various domains, such as finance, healthcare, and supply chain management. Traditional forecasting methods often assume that all time series follow a similar pattern, which may not hold true in real-
SARTORI, FRANCESCO
core  

A novel quinazolinone insulin receptor inhibitor and its synergy with an EGFR inhibitor in glucose‐driven glioblastoma

open access: yesMolecular Oncology, EarlyView.
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka   +9 more
wiley   +1 more source

Hints of Earlier and Other Creation: Unsupervised Machine Learning in Financial Time-Series Analysis

open access: yesEngineering Proceedings, 2023
This study extends previous work applying unsupervised machine learning to commodity markets. The first article in this sequence examined returns and volatility in commodity markets. The clustering of these time series supported the conventional ontology
James Ming Chen, Charalampos Agiropoulos
doaj   +1 more source

Oncogenic DMTF1β promotes cancer cell motility by regulating autophagy through ULK1 stabilization

open access: yesMolecular Oncology, EarlyView.
In the current study, we demonstrate that the oncogene DMTF1β regulates ULK1 stability by reducing its proteasomal degradation in cancer cells. This stabilization enables ULK1 to induce autophagy, which in turn facilitates cancer cell migration. Consequently, reduced DMTF1β levels lead to decreased autophagy and impaired cancer cell migration.
Jun Xu   +13 more
wiley   +1 more source

Incremental fuzzy C medoids clustering of time series data using dynamic time warping distance. [PDF]

open access: yesPLoS ONE, 2018
Clustering time series data is of great significance since it could extract meaningful statistics and other characteristics. Especially in biomedical engineering, outstanding clustering algorithms for time series may help improve the health level of ...
Yongli Liu   +4 more
doaj   +1 more source

Clustering Time Series Using Dynamic Time Warping Distance in Provinces in Indonesia Based on Rice Prices

open access: yesTIERS Information Technology Journal, 2023
Rice is a food commodity that is a basic need for Indonesian people. Since the end of 2022, average rice prices in Indonesia have been increasing, breaking the record for the highest price from August to October 2023.
Yeni Rahkmawati, Selvi Annisa
doaj   +1 more source

Loss of proton‐sensing TDAG8 increases tumor progression in mouse models of colon cancer

open access: yesMolecular Oncology, EarlyView.
Loss of the pH‐sensing receptor TDAG8 accelerates colorectal cancer progression in mice. Animals lacking TDAG8 expression had increased tumor growth, DNA damage, and recruitment of tumor‐associated immune cells, including macrophages, neutrophils, and monocytes.
Ermanno Malagola   +11 more
wiley   +1 more source

Spatial and single‐nuclei transcriptomics reveals idiosyncratic and generic patterns in papillary and anaplastic thyroid cancers

open access: yesMolecular Oncology, EarlyView.
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur   +11 more
wiley   +1 more source

Graph-based two-level clustering for electric vehicle usage patterns

open access: yesEnergy and AI
Electric vehicles (EVs) continue to gain popularity over internal combustion vehicles, but driving and charging an EV is a fundamentally different experience. EV usage patterns include features such as charging speed, battery state of charge, and battery
Dhanashree Balaram   +5 more
doaj   +1 more source

Improved robustness in time series analysis of gene expression data by polynomial model based clustering [PDF]

open access: yes, 2006
Microarray experiments produce large data sets that often contain noise and considerable missing data. Typical clustering methods such as hierarchical clustering or partitional algorithms can often be adversely affected by such data.
Liu, X   +20 more
core   +1 more source

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