Kavosh : a new algorithm for finding network motifs

Publikationstyp: Zeitschriftenartikel
Publikationsstatus: Published
URI (zitierfähiger Link): http://nbn-resolving.de/urn:nbn:de:bsz:352-2--1onffedzzkzv66
Autor/innen: Kashani, Zahra Razaghi Moghadam; Ahrabian, Hayedeh; Elahi, Elahe; Nowzari-Dalini, Abbas; Ansari, Elnaz; Asadi, Sahar; Mohammadi, Shahin; Schreiber, Falk; Masoudi-Nejad, Ali
Erscheinungsjahr: 2009
Erschienen in: BMC Bioinformatics ; 10 (2009). - 318. - eISSN 1471-2105
DOI (zitierfähiger Link): https://dx.doi.org/10.1186/1471-2105-10-318
Zusammenfassung:
Complex networks are studied across many fields of science and are particularly important to understand biological processes. Motifs in networks are small connected sub-graphs that occur significantly in higher frequencies than in random networks. They have recently gathered much attention as a useful concept to uncover structural design principles of complex networks. Existing algorithms for finding network motifs are extremely costly in CPU time and memory consumption and have practically restrictions on the size of motifs.
Fachgebiet (DDC): 004 Informatik
Link zur Lizenz: Nutzungsbedingungen

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KASHANI, Zahra Razaghi Moghadam, Hayedeh AHRABIAN, Elahe ELAHI, Abbas NOWZARI-DALINI, Elnaz ANSARI, Sahar ASADI, Shahin MOHAMMADI, Falk SCHREIBER, Ali MASOUDI-NEJAD, 2009. Kavosh : a new algorithm for finding network motifs. In: BMC Bioinformatics. 10, 318. eISSN 1471-2105. Available under: doi: 10.1186/1471-2105-10-318

@article{Kashani2009Kavos-40487, title={Kavosh : a new algorithm for finding network motifs}, year={2009}, doi={10.1186/1471-2105-10-318}, volume={10}, journal={BMC Bioinformatics}, author={Kashani, Zahra Razaghi Moghadam and Ahrabian, Hayedeh and Elahi, Elahe and Nowzari-Dalini, Abbas and Ansari, Elnaz and Asadi, Sahar and Mohammadi, Shahin and Schreiber, Falk and Masoudi-Nejad, Ali}, note={Article Number: 318} }

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