Results 81 to 90 of about 3,388 (214)

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

Genetic subtypes of Alzheimer’s disease are related to differential biomarker and cognitive trajectories [PDF]

Alzheimers Dement
Abstract Background Alzheimer’s disease (AD) exhibits considerable phenotypic heterogeneity, suggesting the potential existence of subtypes. AD is under substantial genetic influence, thus identifying systematic variation in genetic risk may provide insights into disease origins. We previously identified a genetic heterogeneity across two levels.
Elman J, Schork N, Rangan A.
europepmc   +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

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

Sparse Convex Biclustering

CoRR
Biclustering is an essential unsupervised machine learning technique for simultaneously clustering rows and columns of a data matrix, with widespread applications in genomics, transcriptomics, and other high-dimensional omics data. Despite its importance, existing biclustering methods struggle to meet the demands of modern large-scale datasets.
Jiakun Jiang, Dewei Xiang, Chenliang Gu, Wei Liu, Binhuan Wang   +4 more
openaire   +2 more sources

Finding biclusters by random projections

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

Detecting Cancer Survival Related Gene Markers Based on Rectified Factor Network

Frontiers in Bioengineering and Biotechnology, 2020
Detecting gene sets that serve as biomarkers for differentiating patient survival groups may help diagnose diseases robustly and develop multi-gene targeted therapies.
Lingtao Su, Lingtao Su, Guixia Liu, Juexin Wang, Jianjiong Gao, Dong Xu   +5 more
doaj   +1 more source

Adverse drug reaction signal detection methods in spontaneous reporting system: A systematic review

Pharmacoepidemiology and Drug Safety, Volume 33, Issue 3, March 2024.
Abstract Background A series of signal detection methods have been developed to detect adverse drug reaction (ADR) signals in spontaneous reporting system. However, different signal detection methods yield quite different signal detection results, and we do not know which method has the best detection performance. How to choose the most suitable signal
Xue‐Feng Jiao, Libin Pu, Shan Lan, Hailong Li, Linan Zeng, Huiqing Wang, Lingli Zhang   +6 more
wiley   +1 more source

A polynomial time biclustering algorithm for finding approximate expression patterns in gene expression time series

Algorithms for Molecular Biology, 2009
Background The ability to monitor the change in expression patterns over time, and to observe the emergence of coherent temporal responses using gene expression time series, obtained from microarray experiments, is critical to advance our understanding ...
Madeira Sara C, Oliveira Arlindo L
doaj   +1 more source