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Mapping dynamical states to structural classes for Boolean networks using a classification algorithm

Tutkimustuotosvertaisarvioitu

Standard

Mapping dynamical states to structural classes for Boolean networks using a classification algorithm. / Sarbu, Septimia; Shmulevich, Ilya; Yli-Harja, Olli; Nykter, Matti; Kesseli, Juha.

23rd European Signal Processing Conference (EUSIPCO). IEEE, 2015. s. 160-164.

Tutkimustuotosvertaisarvioitu

Harvard

Sarbu, S, Shmulevich, I, Yli-Harja, O, Nykter, M & Kesseli, J 2015, Mapping dynamical states to structural classes for Boolean networks using a classification algorithm. julkaisussa 23rd European Signal Processing Conference (EUSIPCO). IEEE, Sivut 160-164, EUROPEAN SIGNAL PROCESSING CONFERENCE, 1/01/00. https://doi.org/10.1109/EUSIPCO.2015.7362365

APA

Sarbu, S., Shmulevich, I., Yli-Harja, O., Nykter, M., & Kesseli, J. (2015). Mapping dynamical states to structural classes for Boolean networks using a classification algorithm. teoksessa 23rd European Signal Processing Conference (EUSIPCO) (Sivut 160-164). IEEE. https://doi.org/10.1109/EUSIPCO.2015.7362365

Vancouver

Sarbu S, Shmulevich I, Yli-Harja O, Nykter M, Kesseli J. Mapping dynamical states to structural classes for Boolean networks using a classification algorithm. julkaisussa 23rd European Signal Processing Conference (EUSIPCO). IEEE. 2015. s. 160-164 https://doi.org/10.1109/EUSIPCO.2015.7362365

Author

Sarbu, Septimia ; Shmulevich, Ilya ; Yli-Harja, Olli ; Nykter, Matti ; Kesseli, Juha. / Mapping dynamical states to structural classes for Boolean networks using a classification algorithm. 23rd European Signal Processing Conference (EUSIPCO). IEEE, 2015. Sivut 160-164

Bibtex - Lataa

@inproceedings{41d0ebdee6324525aac9d5f9d7ed0f7b,
title = "Mapping dynamical states to structural classes for Boolean networks using a classification algorithm",
keywords = "Boolean functions, Complex networks, Europe, Mutual information, Signal processing, Support vector machines, Yttrium, Boolean networks, classification, feature extraction, information theory, structural classes",
author = "Septimia Sarbu and Ilya Shmulevich and Olli Yli-Harja and Matti Nykter and Juha Kesseli",
year = "2015",
month = "8",
day = "1",
doi = "10.1109/EUSIPCO.2015.7362365",
language = "English",
isbn = "978-0-9928626-3-3",
pages = "160--164",
booktitle = "23rd European Signal Processing Conference (EUSIPCO)",
publisher = "IEEE",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - Mapping dynamical states to structural classes for Boolean networks using a classification algorithm

AU - Sarbu, Septimia

AU - Shmulevich, Ilya

AU - Yli-Harja, Olli

AU - Nykter, Matti

AU - Kesseli, Juha

PY - 2015/8/1

Y1 - 2015/8/1

KW - Boolean functions

KW - Complex networks

KW - Europe

KW - Mutual information

KW - Signal processing

KW - Support vector machines

KW - Yttrium

KW - Boolean networks

KW - classification

KW - feature extraction

KW - information theory

KW - structural classes

U2 - 10.1109/EUSIPCO.2015.7362365

DO - 10.1109/EUSIPCO.2015.7362365

M3 - Conference contribution

SN - 978-0-9928626-3-3

SP - 160

EP - 164

BT - 23rd European Signal Processing Conference (EUSIPCO)

PB - IEEE

ER -