BibTex format
@inproceedings{Maimari:2013,
author = {Maimari, N and Krams, R and Turliuc, C-R and Broda, K and Russo, A and Kakas, A},
pages = {235--237},
title = {ARNI: Abductive inference of complex regulatory network structures},
year = {2013}
}
In this section
@inproceedings{Maimari:2013,
author = {Maimari, N and Krams, R and Turliuc, C-R and Broda, K and Russo, A and Kakas, A},
pages = {235--237},
title = {ARNI: Abductive inference of complex regulatory network structures},
year = {2013}
}
TY - CPAPER
AB - Physical network inference methods use a template of molecular interaction to infer biological networks from high throughput datasets. Current inference methods have limited applicability, relying on cause-effect pairs or systematically perturbed datasets and fail to capture complex network structures. Here we present a novel framework, ARNI, based on abductive inference, that addresses these limitations. © Springer-Verlag 2013.
AU - Maimari,N
AU - Krams,R
AU - Turliuc,C-R
AU - Broda,K
AU - Russo,A
AU - Kakas,A
EP - 237
PY - 2013///
SN - 0302-9743
SP - 235
TI - ARNI: Abductive inference of complex regulatory network structures
ER -
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