Matrix and Tensor Factorization Methods for Toxicogenomic Modeling and Prediction

Suleiman A. Khan; Tero Aittokallio; Andreas Scherer; Roland C Grafström; Pekka Kohonen

doi:10.1007/978-3-030-16443-0_4

Matrix and Tensor Factorization Methods for Toxicogenomic Modeling and Prediction

Suleiman A. Khan, Tero Aittokallio, Andreas Scherer, Roland C Grafström, Pekka Kohonen

Forskningsoutput: Kapitel i bok/rapport/konferenshandling › Kapitel › Vetenskaplig › Peer review

Originalspråk	engelska
Titel på värdpublikation	Advances in Computational Toxicology : Methodologies and Applications in Regulatory Science
Redaktörer	Huixiao Hong
Antal sidor	18
Utgivningsort	Cham
Förlag	Springer International Publishing AG
Utgivningsdatum	maj 2019
Sidor	57-74
ISBN (tryckt)	978-3-030-16443-0
ISBN (elektroniskt)	978-3-030-16442-3
DOI	https://doi.org/10.1007/978-3-030-16443-0_4
Status	Publicerad - maj 2019
MoE-publikationstyp	A3 Del av bok eller annan forskningsbok

Publikationsserier

Namn	Challenges and Advances in Computational Chemistry and Physics
Förlag	SPRINGER INTERNATIONAL PUBLISHING AG
Volym	30
ISSN (tryckt)	2542-4491
ISSN (elektroniskt)	2542-4483

Vetenskapsgrenar

3111 Biomedicinska vetenskaper
113 Data- och informationsvetenskap

Åtkomst av dokument

10.1007/978-3-030-16443-0_4

Chapter_4_Suleiman_Khan_UniversityOfHelsinkiAccepterat manuskript från författare, 271 KB

Citera det här

Khan, S. A., Aittokallio, T., Scherer, A., Grafström, R. C., & Kohonen, P. (2019). Matrix and Tensor Factorization Methods for Toxicogenomic Modeling and Prediction. I H. Hong (Red.), Advances in Computational Toxicology: Methodologies and Applications in Regulatory Science (s. 57-74). (Challenges and Advances in Computational Chemistry and Physics; Vol. 30). Springer International Publishing AG. https://doi.org/10.1007/978-3-030-16443-0_4

Khan, Suleiman A. ; Aittokallio, Tero ; Scherer, Andreas et al. / Matrix and Tensor Factorization Methods for Toxicogenomic Modeling and Prediction. Advances in Computational Toxicology: Methodologies and Applications in Regulatory Science. redaktör / Huixiao Hong. Cham : Springer International Publishing AG, 2019. s. 57-74 (Challenges and Advances in Computational Chemistry and Physics).

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title = "Matrix and Tensor Factorization Methods for Toxicogenomic Modeling and Prediction",

keywords = "3111 Biomedicine, 113 Computer and information sciences",

author = "Khan, {Suleiman A.} and Tero Aittokallio and Andreas Scherer and Grafstr{\"o}m, {Roland C} and Pekka Kohonen",

year = "2019",

month = may,

doi = "10.1007/978-3-030-16443-0_4",

language = "English",

isbn = "978-3-030-16443-0",

series = "Challenges and Advances in Computational Chemistry and Physics",

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Khan, SA , Aittokallio, T , Scherer, A, Grafström, RC & Kohonen, P 2019, Matrix and Tensor Factorization Methods for Toxicogenomic Modeling and Prediction. i H Hong (red.), Advances in Computational Toxicology: Methodologies and Applications in Regulatory Science. Challenges and Advances in Computational Chemistry and Physics, vol. 30, Springer International Publishing AG, Cham, s. 57-74. https://doi.org/10.1007/978-3-030-16443-0_4

Matrix and Tensor Factorization Methods for Toxicogenomic Modeling and Prediction. / Khan, Suleiman A.; Aittokallio, Tero ; Scherer, Andreas et al.

Advances in Computational Toxicology: Methodologies and Applications in Regulatory Science. red. / Huixiao Hong. Cham : Springer International Publishing AG, 2019. s. 57-74 (Challenges and Advances in Computational Chemistry and Physics; Vol. 30).

Forskningsoutput: Kapitel i bok/rapport/konferenshandling › Kapitel › Vetenskaplig › Peer review

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AU - Khan, Suleiman A.

AU - Aittokallio, Tero

AU - Scherer, Andreas

AU - Grafström, Roland C

AU - Kohonen, Pekka

PY - 2019/5

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Khan SA , Aittokallio T , Scherer A, Grafström RC, Kohonen P. Matrix and Tensor Factorization Methods for Toxicogenomic Modeling and Prediction. I Hong H, redaktör, Advances in Computational Toxicology: Methodologies and Applications in Regulatory Science. Cham: Springer International Publishing AG. 2019. s. 57-74. (Challenges and Advances in Computational Chemistry and Physics). doi: 10.1007/978-3-030-16443-0_4