Sayed-Amir Marashi

Orcid: 0000-0001-9801-7449

Affiliations:
  • University of Tehran, Iran


According to our database1, Sayed-Amir Marashi authored at least 18 papers between 2006 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
EIA-CNDP: An exact iterative algorithm for critical node detection problem.
Comput. Oper. Res., 2021

2020
NDDSA: A network- and domain-based method for predicting drug-side effect associations.
Inf. Process. Manag., 2020

A system architecture for parallel analysis of flux-balanced metabolic pathways.
Comput. Biol. Chem., 2020

2019
Cancer driver gene discovery in transcriptional regulatory networks using influence maximization approach.
Comput. Biol. Medicine, 2019

2018
A graph-based approach to analyze flux-balanced pathways in metabolic networks.
Biosyst., 2018

2017
Biomedical applications of cell- and tissue-specific metabolic network models.
J. Biomed. Informatics, 2017

2015
On correlated reaction sets and coupled reaction sets in metabolic networks.
J. Bioinform. Comput. Biol., 2015

Evidence for the relationship between the regulatory effects of microRNAs and attack robustness of biological networks.
Comput. Biol. Medicine, 2015

CAMWI: Detecting protein complexes using weighted clustering coefficient and weighted density.
Comput. Biol. Chem., 2015

2014
FCDECOMP: Decomposition of metabolic networks based on flux coupling relations.
J. Bioinform. Comput. Biol., 2014

Reconstruction of phylogenetic trees of prokaryotes using maximal common intervals.
Biosyst., 2014

2012
Analysis of Metabolic Subnetworks by Flux Cone Projection.
Algorithms Mol. Biol., 2012

2011
FFCA: a feasibility-based method for flux coupling analysis of metabolic networks.
BMC Bioinform., 2011

Flux coupling analysis of metabolic networks is sensitive to missing reactions.
Biosyst., 2011

2008
A tale of two symmetrical tails: Structural and functional characteristics of palindromes in proteins.
BMC Bioinform., 2008

Impact of residue accessible surface area on the prediction of protein secondary structures.
BMC Bioinform., 2008

2006
Importance of RNA secondary structure information for yeast donor and acceptor splice site predictions by neural networks.
Comput. Biol. Chem., 2006

Impact of RNA structure on the prediction of donor and acceptor splice sites.
BMC Bioinform., 2006


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