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Lauren Marazzi

dblp:281/2643 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2020
0000-0002-7425-9467ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › systems bioinformatics › pathway analysis
signaling pathway analysis
0.412020
OCSANA+: optimal control and simulation of signaling networks from network analysis · Bioinform. 2020
Bioinformatics and computational biology › network bioinformatics › biological network analysis
network analysis
0.112020
OCSANA+: optimal control and simulation of signaling networks from network analysis · Bioinform. 2020

Methods — techniques the papers use, named apart from their topics

signal flow estimation · 0.4optimal control algorithms · 0.4
YearPublicationVenuePosition
2020 OCSANA+: optimal control and simulation of signaling networks from network analysis
abstract
SUMMARY: OCSANA+ is a Cytoscape app for identifying nodes to drive the system toward a desired long-term behavior, prioritizing combinations of interventions in large-scale complex networks, and estimating the effects of node perturbations in signaling networks, all based on the analysis of the network's structure. OCSANA+ includes an update to optimal combinations of interventions from network analysis software tool with cutting-edge and rigorously tested algorithms, together with recently developed structure-based control algorithms for non-linear systems and an algorithm for estimating signal flow. All these algorithms are based on the network's topology. OCSANA+ is implemented as a Cytoscape app to enable a user interface for running analyses and visualizing results. AVAILABILITY AND IMPLEMENTATION: OCSANA+ app and its tutorial can be downloaded from the Cytoscape App Store or https://veraliconaresearchgroup.github.io/OCSANA-Plus/. The source code and computations are available in https://github.com/VeraLiconaResearchGroup/OCSANA-Plus_SourceCode. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Lauren Marazzi, Andrew Gainer-Dewar, Paola Vera-Licona
Bioinform.1