Cargando…

Editorial: Integrative Approaches to Analyze Cancer Based on Multi‐Omics

Detalles Bibliográficos
Autor principal:	Shen, Sipeng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Genetics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9620517/ https://www.ncbi.nlm.nih.gov/pubmed/36324507 http://dx.doi.org/10.3389/fgene.2022.1057408

Ejemplares similares

Editorial: Integration of Multi-Omics Techniques in Cancer
por: Andrieux, Geoffroy, et al.
Publicado: (2021)

Editorial: Elucidation of the causes of human disease by multi-omics integration
por: Rusmini, Marta, et al.
Publicado: (2023)

Integration of Next-Generation Sequencing Based Multi-Omics Approaches in Toxicogenomics
por: Jayapal, Manikandan
Publicado: (2012)

Editorial: Integrative analysis of single-cell and/or bulk multi-omics sequencing data
por: Chen, Geng, et al.
Publicado: (2023)

Editorial: Multi-omics studies and applications in precision medicine
por: Everad John, Arivusudar
Publicado: (2022)

Editorial: An insight into multi-omics analysis of dementia disorders
por: Srivastava, Prachi, et al.
Publicado: (2023)

A Review of Integrative Imputation for Multi-Omics Datasets
por: Song, Meng, et al.
Publicado: (2020)

Editorial: Computational methods for multi-omics data analysis in cancer precision medicine
por: Piroozkhah, Moein, et al.
Publicado: (2023)

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

Editorial: Multi-omics analysis in tumor microenvironment and tumor heterogeneity
por: Shi, Yuxin, et al.
Publicado: (2023)

Editorial: System Biology Methods and Tools for Integrating Omics Data
por: Cheng, Liang, 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)

Unraveling the therapeutic mechanisms of dichloroacetic acid in lung cancer through integrated multi-omics approaches: metabolomics and transcriptomics
por: Feng, Malong, et al.
Publicado: (2023)

Editorial: Omics integration and network medicine to decipher human complex diseases
por: Zanfardino, Mario, et al.
Publicado: (2023)

The Genome Conformation As an Integrator of Multi-Omic Data: The Example of Damage Spreading in Cancer
por: Tordini, Fabio, et al.
Publicado: (2016)

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

An Efficient and Easy-to-Use Network-Based Integrative Method of Multi-Omics Data for Cancer Genes Discovery
por: Wei, Ting, et al.
Publicado: (2021)

Editorial: Systems Biology and Omics Approaches for Understanding Complex Disease Biology
por: Yadav, Amit Kumar, et al.
Publicado: (2022)

Analyzing the Complex Regulatory Landscape of Hfq – an Integrative, Multi-Omics Approach
por: Grenga, Lucia, et al.
Publicado: (2017)

Meta-Analyzing Multiple Omics Data With Robust Variable Selection
por: Hu, Zongliang, et al.
Publicado: (2021)

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

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

Editorial: Application of Novel Statistical and Machine-Learning Methods to High-Dimensional Clinical Cancer and (Multi-)Omics Data
por: Xu, Chao, et al.
Publicado: (2021)

Unsupervised Multi-Omics Data Integration Methods: A Comprehensive Review
por: Vahabi, Nasim, et al.
Publicado: (2022)

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)

Heterogeneous Multi-Layered Network Model for Omics Data Integration and Analysis
por: Lee, Bohyun, et al.
Publicado: (2020)

A review of multi-omics data integration through deep learning approaches for disease diagnosis, prognosis, and treatment
por: Wekesa, Jael Sanyanda, et al.
Publicado: (2023)

Editorial: Omics applied to livestock genetics
por: Verardo, Lucas Lima, et al.
Publicado: (2023)

Editorial: The Transition Era to New Sequencing Technologies and Their Application to Integrative Omics in Molecular Surveillance
por: Hölzer, Martin, et al.
Publicado: (2022)

Integrated Analyses Reveal the Multi-Omics and Prognostic Characteristics of ATP5B in Breast Cancer
por: Liu, Min, et al.
Publicado: (2021)

Editorial: Multi-Omics Study in Revealing Underlying Pathogenesis of Complex Diseases: A Translational Perspective
por: Zhang, Yue-Miao, et al.
Publicado: (2021)

Editorial: Predicting High-Risk Individuals for Common Diseases Using Multi-Omics and Epidemiological Data
por: Chowdhury, Debajyoti, et al.
Publicado: (2021)

A Final Frontier in Environment-Genome Interactions? Integrated, Multi-Omic Approaches to Predictions of Non-Communicable Disease Risk
por: Noble, Alexandra J., et al.
Publicado: (2022)

Elucidating the Role of Chromatin State and Transcription Factors on the Regulation of the Yeast Metabolic Cycle: A Multi-Omic Integrative Approach
por: Sánchez-Gaya, Víctor, et al.
Publicado: (2018)

From classical mendelian randomization to causal networks for systematic integration of multi-omics
por: Yazdani, Azam, et al.
Publicado: (2022)

Editorial: Omics Technologies Toward Systems Biology
por: Maghuly, Fatemeh, et al.
Publicado: (2021)

Editorial: Artificial Intelligence Bioinformatics: Development and Application of Tools for Omics and Inter-Omics Studies
por: Chicco, Davide, et al.
Publicado: (2020)

Editorial: Multi-omic data integration
por: Nardini, Christine, et al.
Publicado: (2015)

Identification of Prognostic Dosage-Sensitive Genes in Colorectal Cancer Based on Multi-Omics
por: Chang, Zhiqiang, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_o1smcnrann4n7uebi8751mp2k1