Enriching Nanomaterials Omics Data: An Integration Technique to Generate Biological Descriptors-Reference-Cited by-同舟云学术

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Enriching Nanomaterials Omics Data: An Integration Technique to Generate Biological Descriptors

Published:2017-10-12 Issue:11 Volume:1 Page:1700139
ISSN:2366-9608
Container-title:Small Methods
language:en
Short-container-title:Small Methods

Author:

Tsiliki Georgia¹^ORCID,Nymark Penny²³,Kohonen Pekka²³,Grafström Roland²³,Sarimveis Haralambos¹

Affiliation:

1. School of Chemical Engineering; National Technical University of Athens; 9 Heroon Polytechneiou Street, Zografou Campus 15780 Athens Greece

2. Institute of Environmental Medicine; Karolinska Institutet; SE-171 77 Stockholm Sweden

3. Misvik Biology Oy; 20520 Turku Finland

Funder

European Union's Seventh Framework Programme for research, technological development, and demonstration

Publisher

Wiley

Subject

General Materials Science,General Chemistry

Reference47 articles.

1. A decision-making framework for the grouping and testing of nanomaterials (DF4nanoGrouping)

2. Incorporating New Technologies Into Toxicity Testing and Risk Assessment: Moving From 21st Century Vision to a Data-Driven Framework

3. The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

4. Integration of metabolomics and transcriptomics data to aid biomarker discovery in type 2 diabetes

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1. A novel hydrophilic MOFs-303-functionalized magnetic probe for the highly efficient analysis of N-linked glycopeptides;Journal of Materials Chemistry B;2022

2. How can we justify grouping of nanoforms for hazard assessment? Concepts and tools to quantify similarity;NanoImpact;2022-01

3. Machine learning for screening active metabolites with metabolomics in environmental science;Environmental Science: Advances;2022

4. Non‐Animal Strategies for Toxicity Assessment of Nanoscale Materials: Role of Adverse Outcome Pathways in the Selection of Endpoints;Small;2021-02-09

5. In silico nanosafety assessment tools and their ecosystem-level integration prospect;Nanoscale;2021

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