Matrix and Tensor Factorization Methods for Toxicogenomic Modeling and Prediction

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

Forskningsoutput: Kapitel i bok/rapport/konferenshandlingKapitelVetenskapligPeer review

Originalspråkengelska
Titel på gästpublikationAdvances in Computational Toxicology : Methodologies and Applications in Regulatory Science
RedaktörerHuixiao Hong
Antal sidor16
FörlagSpringer Nature Switzerland
Utgivningsdatummaj 2019
Sidor57-74
ISBN (tryckt)978-3-030-16442-3
ISBN (elektroniskt)978-3-030-16443-0
DOI
StatusPublicerad - maj 2019
MoE-publikationstypA3 Del av bok eller annan forskningsbok

Publikationsserier

NamnChallenges and Advances in Computational Chemistry and Physics
FörlagSpringer Nature
Volym30
ISSN (tryckt)2542-4491
ISSN (elektroniskt)2542-4483

Vetenskapsgrenar

  • 3111 Biomedicinska vetenskaper
  • 113 Data- och informationsvetenskap

Citera det här

Khan, S. A., Aittokallio, T., Scherer, A., Grafström, R., & 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 Nature Switzerland. https://doi.org/10.1007/978-3-030-16443-0_4
Khan, Suleiman A. ; Aittokallio, Tero ; Scherer, Andreas ; Grafström, Roland ; Kohonen, Pekka. / Matrix and Tensor Factorization Methods for Toxicogenomic Modeling and Prediction. Advances in Computational Toxicology: Methodologies and Applications in Regulatory Science. redaktör / Huixiao Hong. Springer Nature Switzerland, 2019. s. 57-74 (Challenges and Advances in Computational Chemistry and Physics).
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Khan, SA, Aittokallio, T, Scherer, A, Grafström, R & 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 Nature Switzerland, 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; Grafström, Roland; Kohonen, Pekka.

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

Forskningsoutput: Kapitel i bok/rapport/konferenshandlingKapitelVetenskapligPeer review

TY - CHAP

T1 - Matrix and Tensor Factorization Methods for Toxicogenomic Modeling and Prediction

AU - Khan, Suleiman A.

AU - Aittokallio, Tero

AU - Scherer, Andreas

AU - Grafström, Roland

AU - Kohonen, Pekka

PY - 2019/5

Y1 - 2019/5

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KW - 113 Computer and information sciences

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M3 - Chapter

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T3 - Challenges and Advances in Computational Chemistry and Physics

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BT - Advances in Computational Toxicology

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Khan SA, Aittokallio T, Scherer A, Grafström R, 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. Springer Nature Switzerland. 2019. s. 57-74. (Challenges and Advances in Computational Chemistry and Physics). https://doi.org/10.1007/978-3-030-16443-0_4