Transcriptomics in Toxicogenomics, Part III : Data Modelling for Risk Assessment

Angela Serra; Karolina Jagiello; My Kieu Ha; Jang-Sik Choi; Natasha Sanabria; Mary Gulumian; Tomasz Puzyn; Tae-Hyun Yoon; Haralambos Sarimveis; Roland Grafström; Antreas Afantitis; Michele Fratello; Dario Greco; Cattelani Luca; Luca Cattelani; Irene Liampa; Georgia Melagraki; Pekka Kohonen; Penny Nymark; Antonio Federico

doi:10.3390/nano10040708

Transcriptomics in Toxicogenomics, Part III : Data Modelling for Risk Assessment

Angela Serra, Karolina Jagiello, My Kieu Ha, Jang-Sik Choi, Natasha Sanabria, Mary Gulumian, Tomasz Puzyn, Tae-Hyun Yoon, Haralambos Sarimveis, Roland Grafström, Antreas Afantitis, Michele Fratello, Dario Greco, Cattelani Luca, Luca Cattelani, Irene Liampa, Georgia Melagraki, Pekka Kohonen, Penny Nymark, Antonio Federico

Tutkimustuotos: Katsausartikkeli › vertaisarvioitu

42 Sitaatiot (Scopus)

Alkuperäiskieli	Englanti
Artikkeli	708
Julkaisu	Nanomaterials
Vuosikerta	10
Numero	4
DOI - pysyväislinkit	https://doi.org/10.3390/nano10040708
Tila	Julkaistu - 2020
OKM-julkaisutyyppi	A2 Katsausartikkeli tieteellisessä aikakauslehdessä

Tutkimusalat

QSAR
benchmark dose analysis
data integration
data modelling
deep learning
machine learning
network analysis
read-across
toxicogenomics
transcriptomics

Julkaisufoorumi-taso

Jufo-taso 1

Pääsy asiakirjaan

10.3390/nano10040708

http://urn.fi/URN:NBN:fi:tuni-202007026294

Siteeraa tätä

Serra, A., Jagiello, K., Ha, M. K., Choi, J.-S., Sanabria, N., Gulumian, M., Puzyn, T., Yoon, T.-H., Sarimveis, H., Grafström, R., Afantitis, A., Fratello, M., Greco, D., Luca, C., Cattelani, L., Liampa, I., Melagraki, G., Kohonen, P., Nymark, P., & Federico, A. (2020). Transcriptomics in Toxicogenomics, Part III : Data Modelling for Risk Assessment. Nanomaterials, 10(4), Artikkeli 708. https://doi.org/10.3390/nano10040708

@article{c02a262c038c43fdbaaff54d72edddf3,

title = "Transcriptomics in Toxicogenomics, Part III : Data Modelling for Risk Assessment",

keywords = "QSAR, benchmark dose analysis, data integration, data modelling, deep learning, machine learning, network analysis, read-across, toxicogenomics, transcriptomics, QSAR, benchmark dose analysis, data integration, data modelling, deep learning, machine learning, network analysis, read-across, toxicogenomics, transcriptomics",

author = "Angela Serra and Karolina Jagiello and Ha, {My Kieu} and Jang-Sik Choi and Natasha Sanabria and Mary Gulumian and Tomasz Puzyn and Tae-Hyun Yoon and Haralambos Sarimveis and Roland Grafstr{\"o}m and Antreas Afantitis and Michele Fratello and Dario Greco and Cattelani Luca and Luca Cattelani and Irene Liampa and Georgia Melagraki and Pekka Kohonen and Penny Nymark and Antonio Federico",

year = "2020",

doi = "10.3390/nano10040708",

language = "English",

volume = "10",

journal = "Nanomaterials",

issn = "2079-4991",

publisher = "MDPI",

number = "4",

}

Serra, A, Jagiello, K, Ha, MK, Choi, J-S, Sanabria, N, Gulumian, M, Puzyn, T, Yoon, T-H, Sarimveis, H, Grafström, R, Afantitis, A, Fratello, M , Greco, D, Luca, C, Cattelani, L, Liampa, I, Melagraki, G, Kohonen, P, Nymark, P & Federico, A 2020, 'Transcriptomics in Toxicogenomics, Part III : Data Modelling for Risk Assessment', Nanomaterials, Vuosikerta 10, Nro 4, 708. https://doi.org/10.3390/nano10040708

TY - JOUR

T1 - Transcriptomics in Toxicogenomics, Part III : Data Modelling for Risk Assessment

AU - Serra, Angela

AU - Jagiello, Karolina

AU - Ha, My Kieu

AU - Choi, Jang-Sik

AU - Sanabria, Natasha

AU - Gulumian, Mary

AU - Puzyn, Tomasz

AU - Yoon, Tae-Hyun

AU - Sarimveis, Haralambos

AU - Grafström, Roland

AU - Afantitis, Antreas

AU - Fratello, Michele

AU - Greco, Dario

AU - Luca, Cattelani

AU - Cattelani, Luca

AU - Liampa, Irene

AU - Melagraki, Georgia

AU - Kohonen, Pekka

AU - Nymark, Penny

AU - Federico, Antonio

PY - 2020

Y1 - 2020

KW - QSAR

KW - benchmark dose analysis

KW - data integration

KW - data modelling

KW - deep learning

KW - machine learning

KW - network analysis

KW - read-across

KW - toxicogenomics

KW - transcriptomics

KW - QSAR

KW - benchmark dose analysis

KW - data integration

KW - data modelling

KW - deep learning

KW - machine learning

KW - network analysis

KW - read-across

KW - toxicogenomics

KW - transcriptomics

U2 - 10.3390/nano10040708

DO - 10.3390/nano10040708

M3 - Review Article

SN - 2079-4991

VL - 10

JO - Nanomaterials

JF - Nanomaterials

IS - 4

M1 - 708

ER -