Cargando…

Editorial: System Biology Methods and Tools for Integrating Omics Data

Detalles Bibliográficos
Autores principales:	Cheng, Liang, Deng, Lei, Teng, Mingxiang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2020
Materias:	Genetics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7689002/ https://www.ncbi.nlm.nih.gov/pubmed/33281868 http://dx.doi.org/10.3389/fgene.2020.563108

Ejemplares similares

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

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

Editorial: Biomarker Detection Algorithms and Tools for Medical Imaging or Omics Data
por: Cho, William C., et al.
Publicado: (2022)

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

Editorial: Graph Embedding Methods for Multiple-Omics Data Analysis
por: Lan, Wei, et al.
Publicado: (2021)

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

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

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

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

Editorial: Computational Learning Models and Methods Driven by Omics for Precision Medicine
por: Zhu, Lei, et al.
Publicado: (2020)

Editorial: Data Mining and Statistical Methods for Knowledge Discovery in Diseases Based on Multimodal Omics
por: Wang, Tao, et al.
Publicado: (2022)

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

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

AnnotaPipeline: An integrated tool to annotate eukaryotic proteins using multi-omics data
por: Maia, Guilherme Augusto, et al.
Publicado: (2022)

Editorial: Integrative Approaches to Analyze Cancer Based on Multi‐Omics
por: Shen, Sipeng
Publicado: (2022)

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

Data Integration in Poplar: ‘Omics Layers and Integration Strategies
por: Weighill, Deborah, et al.
Publicado: (2019)

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

Editorial: User-Friendly Tools Applied to Genetics or Systems Biology
por: Nakaya, Helder I., et al.
Publicado: (2020)

Editorial: Data mining and statistical methods for knowledge discovery in diseases based on multimodal omics, volume II
por: Wang, Tao, et al.
Publicado: (2023)

Editorial: Omics of Human Aging and Longevity in the Post Genome Era: From Single Biomarkers to Systems Biology Approaches
por: Dato, Serena, et al.
Publicado: (2022)

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

Editorial: Biomedical image or genomic data characterization and radiogenomic/image-omics
por: Fan, Ming, et al.
Publicado: (2022)

Editorial: Systems Biology Methods in Computational Immuno-Oncology
por: Rodin, Andrei S., et al.
Publicado: (2022)

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)

Integration of Online Omics-Data Resources for Cancer Research
por: Das, Tonmoy, et al.
Publicado: (2020)

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)

Editorial: Machine Learning Advanced Dynamic Omics Data Analysis for Precision Medicine
por: Zeng, Tao, et al.
Publicado: (2020)

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)

Integrating Multi-Omics Data to Identify Novel Disease Genes and Single-Neucleotide Polymorphisms
por: Zhao, Sheng, et al.
Publicado: (2020)

Editorial: Bioinformatics analysis of omics data for biomarker identification in clinical research, Volume II
por: Sun, Mengtao, et al.
Publicado: (2023)

Editorial: Omics Data Integration Towards Mining of Phenotype Specific Biomarkers in Cancers and Diseases
por: Cheng, Liang, 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)

Editorial: Cancer systems biology
por: Espinal-Enríquez, Jesús, et al.
Publicado: (2022)

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

Editorial: Advances in methods and tools for multi-omics data analysis
por: Cominetti, Ornella, et al.
Publicado: (2023)

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

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)

Cannot write session to /tmp/vufind_sessions/sess_m1hd3a33ltmm0fup0kbm1utd0b