A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information

Yunan Luo; Xinbin Zhao; Jingtian Zhou; Jinling Yang; Yanqing Zhang; Wenhua Kuang; Jian Peng; Ligong Chen; Jianyang Zeng

A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information

Yunan Luo
, Xinbin Zhao
, Jingtian Zhou
, Jinling Yang
, Yanqing Zhang
, Wenhua Kuang
, Jian Peng^*
, Ligong Chen
, Jianyang Zeng

^*Corresponding author for this work

Tsinghua University
University of Illinois at Urbana-Champaign

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

14 Scopus citations

Original language	English
Title of host publication	Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings
Editors	S.Cenk Sahinalp
Publisher	Springer Verlag
Pages	383-384
Number of pages	2
ISBN (Print)	9783319569697
State	Published - 2017
Externally published	Yes
Event	21st Annual International Conference on Research in Computational Molecular Biology, RECOMB 2017 - Hong Kong, China Duration: 3 May 2017 → 7 May 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10229 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	21st Annual International Conference on Research in Computational Molecular Biology, RECOMB 2017
Country/Territory	China
City	Hong Kong
Period	3/05/17 → 7/05/17

Cite this

Luo, Y., Zhao, X., Zhou, J., Yang, J., Zhang, Y., Kuang, W., Peng, J., Chen, L., & Zeng, J. (2017). A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information. In S. C. Sahinalp (Ed.), Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings (pp. 383-384). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10229 LNCS). Springer Verlag.

Luo, Yunan ; Zhao, Xinbin ; Zhou, Jingtian et al. / A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information. Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings. editor / S.Cenk Sahinalp. Springer Verlag, 2017. pp. 383-384 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{8ecc20f47f1b46ff8ef65839fabf7a48,

title = "A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information",

author = "Yunan Luo and Xinbin Zhao and Jingtian Zhou and Jinling Yang and Yanqing Zhang and Wenhua Kuang and Jian Peng and Ligong Chen and Jianyang Zeng",

year = "2017",

language = "英语",

isbn = "9783319569697",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "383--384",

editor = "S.Cenk Sahinalp",

booktitle = "Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings",

address = "德国",

note = "21st Annual International Conference on Research in Computational Molecular Biology, RECOMB 2017 ; Conference date: 03-05-2017 Through 07-05-2017",

}

Luo, Y, Zhao, X, Zhou, J, Yang, J, Zhang, Y, Kuang, W, Peng, J, Chen, L & Zeng, J 2017, A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information. in SC Sahinalp (ed.), Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10229 LNCS, Springer Verlag, pp. 383-384, 21st Annual International Conference on Research in Computational Molecular Biology, RECOMB 2017, Hong Kong, China, 3/05/17.

A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information. / Luo, Yunan; Zhao, Xinbin; Zhou, Jingtian et al.
Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings. ed. / S.Cenk Sahinalp. Springer Verlag, 2017. p. 383-384 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10229 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information

AU - Luo, Yunan

AU - Zhao, Xinbin

AU - Zhou, Jingtian

AU - Yang, Jinling

AU - Zhang, Yanqing

AU - Kuang, Wenhua

AU - Peng, Jian

AU - Chen, Ligong

AU - Zeng, Jianyang

PY - 2017

Y1 - 2017

UR - https://www.scopus.com/pages/publications/85018392161

M3 - 会议稿件

AN - SCOPUS:85018392161

SN - 9783319569697

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 383

EP - 384

BT - Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings

A2 - Sahinalp, S.Cenk

PB - Springer Verlag

T2 - 21st Annual International Conference on Research in Computational Molecular Biology, RECOMB 2017

Y2 - 3 May 2017 through 7 May 2017

ER -

Luo Y, Zhao X, Zhou J, Yang J, Zhang Y, Kuang W et al. A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information. In Sahinalp SC, editor, Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings. Springer Verlag. 2017. p. 383-384. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information

Publication series

Conference

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