Tijana Milenkovic

Orcid: 0000-0002-8023-6907

According to our database1, Tijana Milenkovic authored at least 47 papers between 2008 and 2022.

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

Timeline

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Links

On csauthors.net:

Bibliography

2022
Inference of a Dynamic Aging-related Biological Subnetwork via Network Propagation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Supervised Prediction of Aging-Related Genes From a Context-Specific Protein Interaction Subnetwork.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Modeling multi-scale data via a network of networks.
Bioinform., 2022

2021
Heterogeneous Network Approach to Predict Individuals' Mental Health.
ACM Trans. Knowl. Discov. Data, 2021

Improved supervised prediction of aging-related genes via weighted dynamic network analysis.
BMC Bioinform., 2021

Data-driven biological network alignment that uses topological, sequence, and functional information.
BMC Bioinform., 2021

2020
Improving supervised prediction of aging-related genes via dynamic network analysis.
CoRR, 2020

Network analysis of synonymous codon usage.
Bioinform., 2020

Pairwise Versus Multiple Global Network Alignment.
IEEE Access, 2020

The Power of Dynamic Social Networks to Predict Individuals' Mental Health.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

2019
Weighted graphlets and deep neural networks for protein structure classification.
CoRR, 2019

Temporal network alignment via GoT-WAVE.
Bioinform., 2019

2018
Multiple Network Alignment via MultiMAGNA++.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Great Lakes Bioinformatics Conference (GLBIO) 2015 Special Section Editorial.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

GoT-WAVE: Temporal network alignment using graphlet-orbit transitions.
CoRR, 2018

Graphlets versus node2vec and struc2vec in the task of network alignment.
CoRR, 2018

Network-based protein structural classification.
CoRR, 2018

Aligning dynamic networks with DynaWAVE.
Bioinform., 2018

Survey of local and global biological network alignment: the need to reconcile the two sides of the same coin.
Briefings Bioinform., 2018

Network analysis of the NetHealth data: exploring co-evolution of individuals' social network positions and physical activities.
Appl. Netw. Sci., 2018

2017
Improving Identification of Key Players in Aging via Network De-Noising and Core Inference.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Rebuttal to the Letter to the Editor in response to the paper: proper evaluation of alignment-free network comparison methods.
Bioinform., 2017

Alignment of dynamic networks.
Bioinform., 2017

2016
On the Interplay Between Individuals' Evolving Interaction Patterns and Traits in Dynamic Multiplex Social Networks.
IEEE Trans. Netw. Sci. Eng., 2016

SCOUT: simultaneous time segmentation and community detection in dynamic networks.
CoRR, 2016

Local versus global biological network alignment.
Bioinform., 2016

Exploring the structure and function of temporal networks with dynamic graphlets.
Bioinform., 2016

2015
Global Network Alignment in the Context of Aging.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015

The post-genomic era of biological network alignment.
EURASIP J. Bioinform. Syst. Biol., 2015

Proper evaluation of alignment-free network comparison methods.
Bioinform., 2015

MAGNA++: Maximizing Accuracy in Global Network Alignment via both node and edge conservation.
Bioinform., 2015

Fair evaluation of global network aligners.
Algorithms Mol. Biol., 2015

Simultaneous Optimization of both Node and Edge Conservation in Network Alignment via WAVE.
Proceedings of the Algorithms in Bioinformatics - 15th International Workshop, 2015

GREAT: GRaphlet Edge-based network AlignmenT.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Networks' characteristics are important for systems biology.
Netw. Sci., 2014

Network analysis improves interpretation of affective physiological data†.
J. Complex Networks, 2014

MAGNA: Maximizing Accuracy in Global Network Alignment.
Bioinform., 2014

Dynamic networks reveal key players in aging.
Bioinform., 2014

Systematic Dynamic and Heterogeneous Analysis of Rich Social Network Data.
Proceedings of the Complex Networks V, 2014

Improving identification of key players in aging via network de-noising.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014

2013
Using Global Network Alignment In The Context Of Aging.
Proceedings of the ACM Conference on Bioinformatics, 2013

2012
Identifying edge clusters in networks via edge graphlet degree vectors (edge-GDVs) and edge-GDV-similarities
CoRR, 2012

Graphlet-based edge clustering reveals pathogen-interacting proteins.
Bioinform., 2012

2010
Complementarity of network and sequence information in homologous proteins.
J. Integr. Bioinform., 2010

An integrative approach to modeling biological networks.
J. Integr. Bioinform., 2010

Protein interaction network topology uncovers melanogenesis regulatory network components within functional genomics datasets.
BMC Syst. Biol., 2010

2008
GraphCrunch: A tool for large network analyses.
BMC Bioinform., 2008


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