Kansikuva

Machine Learning Advanced Dynamic Omics Data Analysis for Precision Medicine

Precision medicine is being developed as a preventative, diagnostic and treatment tool to combat complex human diseases in a personalized manner. By utilizing high-throughput technologies, dynamic 'omics data including genetics, epi-genetics and even meta-genomics has produced temporal-spatial...

Tallennettuna:

Bibliografiset tiedot
Muut tekijät:	Zeng, Tao (Toimittaja), Huang, Tao (Toimittaja), Lu, Chuan (Toimittaja)
Aineistotyyppi:	Elektroninen Kirjan osa
Kieli:	englanti
Julkaistu:	Frontiers Media SA 2020
Aiheet:	Science: general issues Medical genetics machine learning dynamic OMICS data precision medicine integration
Linkit:	DOAB: download the publication DOAB: description of the publication
Tagit:	Lisää tagi Ei tageja, Lisää ensimmäinen tagi!

Samankaltaisia teoksia

Multi-omic Data Integration
Tekijä: Christine Nardini
Julkaistu: (2015)

Artificial Intelligence Bioinformatics: Development and Application of Tools for Omics and Inter-Omics Studies
Julkaistu: (2020)

Integration of Multisource Heterogenous Omics Information in Cancer
Julkaistu: (2020)

System Biology Methods and Tools for Integrating Omics Data
Julkaistu: (2020)

Multi-omic Data Integration in Oncology
Julkaistu: (2020)

Statistical and Computational Methods for Microbiome Multi-Omics Data
Julkaistu: (2020)

Systems Analytics and Integration of Big Omics Data
Tekijä: Hardiman, Gary
Julkaistu: (2020)

Machine Learning With Radiation Oncology Big Data
Tekijä: Lei Xing
Julkaistu: (2019)

Machine Learning for Brain Disorders
Julkaistu: (2023)

Machine Learning for Brain Disorders
Julkaistu: (2023)

Epigenetic Biomarker and Personalized Precision Medicine
Julkaistu: (2020)

Bioinformatics Analysis of Single Cell Sequencing Data and Applications in Precision Medicine
Julkaistu: (2020)

Machine Learning Techniques on Gene Function Prediction
Julkaistu: (2019)

The Importance of Diversity in Precision Medicine Research
Julkaistu: (2020)

Emerging Bioinformatic Tools in Toxicogenomics
Julkaistu: (2020)

Machine Learning Algorithms, Models and Applications
Julkaistu: (2021)

Chapter Integrative Systems Biology Resources and Approaches in Disease Analytics
Tekijä: Fernandes, Marco
Julkaistu: (2019)

Chapter Integrative Systems Biology Resources and Approaches in Disease Analytics
Tekijä: Fernandes, Marco
Julkaistu: (2019)

Machine Learning Advanced Techniques and Emerging Applications
Julkaistu: (2018)

Back to the Future: On the Road Towards Precision Psychiatry
Julkaistu: (2020)

Machine Learning for Data Streams with Practical Examples in MOA
Tekijä: Bifet, Albert
Julkaistu: (2018)

Machine Learning and Data Mining in Materials Science
Julkaistu: (2020)

The Foundation of Precision Medicine: Integration of Electronic Health Records with Nenomics Through Basic, Clinical, and Translational Research
Tekijä: Mariza de Andrade
Julkaistu: (2016)

Frontiers in Ultra-Precision Machining
Julkaistu: (2022)

Precision Machining
Julkaistu: (2022)

Recent Applications in Data Clustering
Julkaistu: (2018)

Machine Learning in Genome-Wide Association Studies
Julkaistu: (2020)

Drug Repositioning: Current Advances and Future Perspectives
Tekijä: Yuhei Nishimura
Julkaistu: (2019)

Advances in Sensors, Big Data and Machine Learning in Intelligent Animal Farming
Julkaistu: (2022)

Precise Genome Editing Techniques and Applications
Julkaistu: (2020)

Integration of OMICS Data to Understand Plant Metabolism
Julkaistu: (2019)

Digital Interaction and Machine Intelligence Proceedings of MIDI'2021 - 9th Machine Intelligence and Digital Interaction Conference, December 9-10, 2021, Warsaw, Poland /
Julkaistu: (2022)

Digital Interaction and Machine Intelligence Proceedings of MIDI'2022 - 10th Machine Intelligence and Digital Interaction - Conference, December 12-15, 2022, Warsaw, Poland (Online) /
Julkaistu: (2023)

Statistical Data Modeling and Machine Learning with Applications
Julkaistu: (2021)

Advances and Trends in Non-conventional, Abrasive and Precision Machining
Julkaistu: (2021)

Precision Public Health
Tekijä: Matthew Bellgard
Julkaistu: (2018)

Machine Learning and Its Application to Reacting Flows ML and Combustion
Julkaistu: (2023)

Machine Learning and Its Application to Reacting Flows ML and Combustion
Julkaistu: (2023)

Using Genomics, Metagenomics and Other "Omics" to Assess Valuable Microbial Ecosystem Services and Novel Biotechnological Applications
Julkaistu: (2019)

Machining Dynamics and Parameters Process Optimization
Julkaistu: (2021)