Results 21 to 30 of about 1,846,894 (263)

Bayesian cluster analysis

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2023
Bayesian cluster analysis offers substantial benefits over algorithmic approaches by providing not only point estimates but also uncertainty in the clustering structure and patterns within each cluster. An overview of Bayesian cluster analysis is provided, including both model-based and loss-based approaches, along with a discussion on the importance ...
openaire   +3 more sources

A Comprehensive Study on Integrating Clustering with Regression for Short-Term Forecasting of Building Energy Consumption: Case Study of a Green Building

Buildings, 2022
Integrating clustering with regression has gained great popularity due to its excellent performance for building energy prediction tasks. However, there is a lack of studies on finding suitable regression models for integrating clustering and the ...
Zhikun Ding, Zhan Wang, Ting Hu, Huilong Wang   +3 more
doaj   +1 more source

In Silico Aptamer Docking Studies: From a Retrospective Validation to a Prospective Case Study'TIM3 Aptamers Binding

Molecular Therapy: Nucleic Acids, 2016
Complementing Systematic Evolution of Ligands by EXponential Enrichment (SELEX) technologies with in silico prediction of aptamer binders has attracted a lot of interest in the recent years. We propose a workflow involving 2D structure prediction, 3D RNA
Obdulia Rabal, Fernando Pastor, Helena Villanueva, Mario M Soldevilla, Sandra Hervas-Stubbs, Julen Oyarzabal   +5 more
doaj   +1 more source

Analysis of Age-Dependent Alterations in Excitability Properties of CA1 Pyramidal Neurons in an APPPS1 Model of Alzheimer’s Disease

Frontiers in Aging Neuroscience, 2021
Age-dependent accumulation of amyloid-β, provoking increasing brain amyloidopathy, triggers abnormal patterns of neuron activity and circuit synchronization in Alzheimer’s disease (AD) as observed in human AD patients and AD mouse models.
Paola Vitale, Ana Rita Salgueiro-Pereira, Carmen Alina Lupascu, Michael Willem, Rosanna Migliore, Michele Migliore, Hélène Marie   +6 more
doaj   +1 more source

Transcriptome data reveal gene clusters and key genes in pepper response to heat shock

Frontiers in Plant Science, 2022
Climate change and global warming pose a great threat to plant growth and development as well as crop productivity. To better study the genome-wide gene expression under heat, we performed a time-course (0.5 to 24 h) transcriptome analysis in the leaf ...
Bingqian Tang, Bingqian Tang, Bingqian Tang, Bingqian Tang, Xiumin Li, Xinhao Zhang, Qinbiao Yin, LingLing Xie, Xuexiao Zou, Xuexiao Zou, Xuexiao Zou, Xuexiao Zou, Feng Liu, Feng Liu, Feng Liu, Feng Liu, Xiongze Dai, Xiongze Dai, Xiongze Dai   +18 more
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Identification of Breast Cancer Immune Subtypes by Analyzing Bulk Tumor and Single Cell Transcriptomes

Frontiers in Cell and Developmental Biology, 2022
Background: The histological and molecular classification of breast cancer (BC) is being used in the clinical management of this disease. However, subtyping of BC based on the tumor immune microenvironment (TIME) remains insufficiently explored, although
Jia Yao, Shengwei Li, Shengwei Li, Shengwei Li, Xiaosheng Wang, Xiaosheng Wang, Xiaosheng Wang   +6 more
doaj   +1 more source

Penentuan Cluster Optimum pada Tingkat Pengangguran dan Tingkat Kemiskinan di Jawa Timur Menggunakan Algoritma Fuzzy C-Means

BIOS, 2020
There are many methods used in resolving data clustering. One of them is the Fuzzy C-Means (FCM) method, which is a reliable method to solve clustering problems in the East Java region.
Ari Eko Wardoyo, Nigati Tripuspita
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Self-adaptive GA, quantitative semantic similarity measures and ontology-based text clustering [PDF]

, 2008
As the common clustering algorithms use vector space model (VSM) to represent document, the conceptual relationships between related terms which do not co-occur literally are ignored.
Li, Chenghua, Song, Wei, Yu, Wei, Zhang, Chengzhi   +3 more
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Cluster analysis

, 2005
The issue of suitable similarity measures for a particular kind of genetic data - so called SNP data - arises, e.g., from the GENICA (The Interdisciplinary Study Group on Gene Environmental Interactions and Breast Cancer in Germany) case-control study of sporadic breast cancer.
H Aiyappan, Paul Ray
openaire   +3 more sources

Enhancing the Early Student Dropout Prediction Model Through Clustering Analysis of Students’ Digital Traces

IEEE Access
Educational Data Mining and learning analytics have gained significant prominence in recent years, garnering attention from researchers worldwide. This is primarily due to their potential to improve decision-making processes within higher education. This
Janka Pecuchova, Martin Drlik
doaj   +1 more source