Cargando…

Multi-Omics Data Fusion for Cancer Molecular Subtyping Using Sparse Canonical Correlation Analysis

It is now clear that major malignancies are heterogeneous diseases associated with diverse molecular properties and clinical outcomes, posing a great challenge for more individualized therapy. In the last decade, cancer molecular subtyping studies were mostly based on transcriptomic profiles, ignori...

Descripción completa

Detalles Bibliográficos
Autores principales:	Qi, Lin, Wang, Wei, Wu, Tan, Zhu, Lina, He, Lingli, Wang, Xin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Genetics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8341864/ https://www.ncbi.nlm.nih.gov/pubmed/34367231 http://dx.doi.org/10.3389/fgene.2021.607817

Ejemplares similares

Identifying Imaging Genetics Biomarkers of Alzheimer’s Disease by Multi-Task Sparse Canonical Correlation Analysis and Regression
por: Ke, Fengchun, et al.
Publicado: (2021)

Multi-omics data integration for hepatocellular carcinoma subtyping with multi-kernel learning
por: Wang, Jiaying, et al.
Publicado: (2022)

Multi-Omics Analysis Reveals Novel Subtypes and Driver Genes in Glioblastoma
por: Yuan, Yang, et al.
Publicado: (2020)

Molecular Subtyping of Cancer Based on Robust Graph Neural Network and Multi-Omics Data Integration
por: Yin, Chaoyi, et al.
Publicado: (2022)

inMTSCCA: An Integrated Multi-task Sparse Canonical Correlation Analysis for Multi-omic Brain Imaging Genetics
por: Du, Lei, et al.
Publicado: (2023)

Multi-Modal Medical Image Fusion With Geometric Algebra Based Sparse Representation
por: Li, Yanping, et al.
Publicado: (2022)

Dynamic Meta-data Network Sparse PCA for Cancer Subtype Biomarker Screening
por: Miao, Rui, et al.
Publicado: (2022)

Multi-Omics Data Fusion via a Joint Kernel Learning Model for Cancer Subtype Discovery and Essential Gene Identification
por: Feng, Jie, et al.
Publicado: (2021)

Integrating multi-OMICS data through sparse canonical correlation analysis for the prediction of complex traits: a comparison study
por: Rodosthenous, Theodoulos, et al.
Publicado: (2020)

Functional impact of multi-omic interactions in breast cancer subtypes
por: Ochoa, Soledad, et al.
Publicado: (2023)

Multi-Omic Data Interpretation to Repurpose Subtype Specific Drug Candidates for Breast Cancer
por: Turanli, Beste, et al.
Publicado: (2019)

MultiGATAE: A Novel Cancer Subtype Identification Method Based on Multi-Omics and Attention Mechanism
por: Zhang, Ge, et al.
Publicado: (2022)

Deep Learning-Based Multi-Omics Data Integration Reveals Two Prognostic Subtypes in High-Risk Neuroblastoma
por: Zhang, Li, et al.
Publicado: (2018)

Robust sparse canonical correlation analysis
por: Wilms, Ines, et al.
Publicado: (2016)

Multi-View Spectral Clustering Based on Multi-Smooth Representation Fusion for Cancer Subtype Prediction
por: Liu, Jian, et al.
Publicado: (2021)

SADLN: Self-attention based deep learning network of integrating multi-omics data for cancer subtype recognition
por: Sun, Qiuwen, et al.
Publicado: (2023)

MoGCN: A Multi-Omics Integration Method Based on Graph Convolutional Network for Cancer Subtype Analysis
por: Li, Xiao, et al.
Publicado: (2022)

Group sparse canonical correlation analysis for genomic data integration
por: Lin, Dongdong, et al.
Publicado: (2013)

NEM-Tar: A Probabilistic Graphical Model for Cancer Regulatory Network Inference and Prioritization of Potential Therapeutic Targets From Multi-Omics Data
por: Zhang, Yuchen, et al.
Publicado: (2021)

Multi-omic integration via similarity network fusion to detect molecular subtypes of ageing
por: Yang, Mu, et al.
Publicado: (2023)

Identification of functional gene modules by integrating multi-omics data and known molecular interactions
por: Chen, Xiaoqing, et al.
Publicado: (2023)

A Sparse Mixture-of-Experts Model With Screening of Genetic Associations to Guide Disease Subtyping
por: Courbariaux, Marie, et al.
Publicado: (2022)

Multi-omics analysis reveals a molecular landscape of the early recurrence and early metastasis in pan-cancer
por: He, Dan-ni, et al.
Publicado: (2023)

Predicting chemoinsensitivity in breast cancer with ’omics/digital pathology data fusion
por: Savage, Richard S., et al.
Publicado: (2016)

Integrated multi-omic data reveal the potential molecular mechanisms of the nutrition and flavor in Liancheng white duck meat
por: Zhou, Hao, et al.
Publicado: (2022)

Canonical correlation analysis for multi-omics: Application to cross-cohort analysis
por: Jiang, Min-Zhi, et al.
Publicado: (2023)

Inferring Interaction Networks From Multi-Omics Data
por: Hawe, Johann S., et al.
Publicado: (2019)

Multi-Omics Approach Identifies Molecular Mechanisms of Plant-Fungus Mycorrhizal Interaction
por: Larsen, Peter E., et al.
Publicado: (2016)

Molecular Subtyping of Serous Ovarian Cancer Based on Multi-omics Data
por: Zhang, Zhe, et al.
Publicado: (2016)

Multi-Omics Analysis of Molecular Characteristics and Carcinogenic Effect of NFE2L3 in Pan-Cancer
por: Liu, Mengxiao, et al.
Publicado: (2022)

Cascaded Multi-view Canonical Correlation (CaMCCo) for Early Diagnosis of Alzheimer’s Disease via Fusion of Clinical, Imaging and Omic Features
por: Singanamalli, Asha, et al.
Publicado: (2017)

Simultaneous Interrogation of Cancer Omics to Identify Subtypes With Significant Clinical Differences
por: Xu, Aodan, et al.
Publicado: (2019)

Editorial: Statistical and Computational Methods for Microbiome Multi-Omics Data
por: Mallick, Himel, et al.
Publicado: (2020)

Multi-Omics Analysis Based on Genomic Instability for Prognostic Prediction in Lower-Grade Glioma
por: Cao, Yudong, et al.
Publicado: (2022)

MOSS: multi-omic integration with sparse value decomposition
por: Gonzalez-Reymundez, Agustin, et al.
Publicado: (2022)

Multi-omic modelling of inflammatory bowel disease with regularized canonical correlation analysis
por: Revilla, Lluís, et al.
Publicado: (2021)

Sparse multiple co-Inertia analysis with application to integrative analysis of multi -Omics data
por: Min, Eun Jeong, et al.
Publicado: (2020)

Genome-wide sparse canonical correlation of gene expression with genotypes
por: Parkhomenko, Elena, et al.
Publicado: (2007)

Integrating multi-omic features exploiting Chromosome Conformation Capture data
por: Merelli, Ivan, et al.
Publicado: (2015)

More Is Better: Recent Progress in Multi-Omics Data Integration Methods
por: Huang, Sijia, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_1ljnbu8kcnens4f04uk8k9f0ab