Results 71 to 80 of about 6,396 (182)

Imaging‐genomic spatial‐modality attentive fusion for studying neuropsychiatric disorders

Human Brain Mapping, Volume 45, Issue 17, December 1, 2024.
Attentive fusion of neuroimaging and genomics data classify schizophrenia (SZ) with high precision. The attention scores provide the most contributing imaging‐genetics features for characterizing the disorder. The proposed fusion module is self‐explaining; interprets how each biological sources complement the other and leverage their combination to ...
Md Abdur Rahaman, Yash Garg, Armin Iraji, Zening Fu, Peter Kochunov, L. Elliot Hong, Theo G. M. Van Erp, Adrian Preda, Jiayu Chen, Vince Calhoun   +9 more
wiley   +1 more source

An approximation ratio for biclustering [PDF]

Information Processing Letters, 2008
The problem of biclustering consists of the simultaneous clustering of rows and columns of a matrix such that each of the submatrices induced by a pair of row and column clusters is as uniform as possible. In this paper we approximate the optimal biclustering by applying one-way clustering algorithms independently on the rows and on the columns of the ...
Puolamäkia, Kai, Hanhijärvi, Sami, Garriga, Gemma C.   +2 more
openaire   +3 more sources

Recommendation System with Biclustering

Big Data Mining and Analytics, 2022
The massive growth of online commercial data has raised the request for an automatic recommender system to benefit both users and merchants. One of the most frequently used recommendation methods is collaborative filtering, but its accuracy is limited by the sparsity of the rating dataset.
Jianjun Sun, Yu Zhang
openaire   +2 more sources

Onset of a conceptual outline map to get a hold on the jungle of cluster analysis

WIREs Data Mining and Knowledge Discovery, Volume 14, Issue 5, September/October 2024.
Abstract The domain of cluster analysis is a meeting point for a very rich multidisciplinary encounter, with cluster‐analytic methods being studied and developed in discrete mathematics, numerical analysis, statistics, data analysis, data science, and computer science (including machine learning, data mining, and knowledge discovery), to name but a few.
Iven Van Mechelen, Christian Hennig, Henk A. L. Kiers   +2 more
wiley   +1 more source

Biclustering Gene Expression Data with Subspace Evolution

Algorithms
Biclustering is crucial for gene expression data analysis, but evolutionary algorithm-based methods often suffer from high computational costs. To address this, we propose a novel subspace evolution-based biclustering method that significantly reduces ...
Jianjun Sun, Bin Jiang, Xinyi Zhang, Pengyu Zhang, Qin Yi   +4 more
doaj   +1 more source

Prognostic Prediction through Biclustering-Based Classification of Clinical Gene Expression Time Series

Journal of Integrative Bioinformatics, 2011
The constant drive towards a more personalized medicine led to an increasing interest in temporal gene expression analyzes. It is now broadly accepted that considering a temporal perspective represents a great advantage to better understand disease ...
Carreiro André V., Anunciação Orlando, Carriço João A., Madeira Sara C.   +3 more
doaj   +1 more source

Implementation of Factor Analysis and BiClustering in Classifying Multidimensional Under-Five Poverty in East Nusa Tenggara

IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2022
Under-five poverty is a condition where the needs of toodlers are not met, resulting in undernourished children and unable to reach their full potential in the social sphere.
Rahmadathul Wisdawati, Rani Nooraeni, Bagaskoro Cahyo Laksono, Bintang Izzatul Fatah   +3 more
doaj   +1 more source

An integrated omics approach highlights how epigenetic events can explain and predict response to neoadjuvant chemotherapy and bevacizumab in breast cancer

Molecular Oncology, Volume 18, Issue 8, Page 2042-2059, August 2024.
DNA methylation and machine learning (LASSO leave‐one‐out) was used to identify and validate a signature to identify patients responding to chemotherapy and bevacizumab (pCR: pathological complete response). Further, by integrating DNA methylation and gene expression, we identified alterations in DNA methylation of enhancer CpGs in GRHL2‐binding ...
Thomas Fleischer, Mads Haugland Haugen, Jørgen Ankill, Laxmi Silwal‐Pandit, Anne‐Lise Børresen‐Dale, Ingrid Hedenfalk, Thomas Hatschek, Jörg Tost, Olav Engebraaten, Vessela N. Kristensen   +9 more
wiley   +1 more source

Finding biclusters by random projections

Theoretical Computer Science, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lonardi, Stefano, Szpankowski, Wojciech, Yang, Qiaofeng   +2 more
openaire   +1 more source

Known by Who We Follow: A Biclustering Application to Community Detection

IEEE Access, 2020
The detection of communities in social networks is a task with multiple applications both in research and in sectors such as marketing and politics among others.
Juan M. Cotelo, F. Javier Ortega, Jose A. Troyano, Fernando Enriquez, Fermin L. Cruz   +4 more
doaj   +1 more source