Tijana Milenkovic

Yann Ponty

Bioinform., 2024

2022

Inference of a Dynamic Aging-related Biological Subnetwork via Network Propagation.

[BibT_eX]

[DOI]

Khalique Newaz

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Supervised Prediction of Aging-Related Genes From a Context-Specific Protein Interaction Subnetwork.

[BibT_eX]

[DOI]

Qi Li

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Modeling multi-scale data via a network of networks.

[BibT_eX]

[DOI]

Bioinform., 2022

2021

Heterogeneous Network Approach to Predict Individuals' Mental Health.

[BibT_eX]

[DOI]

Christian Poellabauer

ACM Trans. Knowl. Discov. Data, 2021

Improved supervised prediction of aging-related genes via weighted dynamic network analysis.

[BibT_eX]

[DOI]

Qi Li

Khalique Newaz

BMC Bioinform., 2021

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

[BibT_eX]

[DOI]

Shawn Gu

BMC Bioinform., 2021

2020

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

[BibT_eX]

[DOI]

Qi Li

CoRR, 2020

Network analysis of synonymous codon usage.

[BibT_eX]

[DOI]

Bioinform., 2020

Pairwise Versus Multiple Global Network Alignment.

[BibT_eX]

[DOI]

IEEE Access, 2020

The Power of Dynamic Social Networks to Predict Individuals' Mental Health.

[BibT_eX]

[DOI]

Shikang Liu

David Hachen

Omar Lizardo

Christian Poellabauer

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

2019

Weighted graphlets and deep neural networks for protein structure classification.

[BibT_eX]

[DOI]

CoRR, 2019

Temporal network alignment via GoT-WAVE.

[BibT_eX]

[DOI]

David Oliveira Aparício

Pedro Ribeiro

Fernando Silva

Bioinform., 2019

2018

Multiple Network Alignment via MultiMAGNA++.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Great Lakes Bioinformatics Conference (GLBIO) 2015 Special Section Editorial.

[BibT_eX]

[DOI]

Sarath Chandra Janga

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

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

[BibT_eX]

[DOI]

David Oliveira Aparício

Pedro Ribeiro

Fernando Silva

CoRR, 2018

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

[BibT_eX]

[DOI]

Shawn Gu

CoRR, 2018

Network-based protein structural classification.

[BibT_eX]

[DOI]

CoRR, 2018

Aligning dynamic networks with DynaWAVE.

[BibT_eX]

[DOI]

Bioinform., 2018

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

[BibT_eX]

[DOI]

Pietro Hiram Guzzi

Briefings Bioinform., 2018

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

[BibT_eX]

[DOI]

Shikang Liu

David Hachen

Omar Lizardo

Christian Poellabauer

Appl. Netw. Sci., 2018

2017

Improving Identification of Key Players in Aging via Network De-Noising and Core Inference.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Bioinform., 2017

Alignment of dynamic networks.

[BibT_eX]

[DOI]

Dominic Critchlow

Bioinform., 2017

2016

On the Interplay Between Individuals' Evolving Interaction Patterns and Traits in Dynamic Multiplex Social Networks.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2016

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

[BibT_eX]

[DOI]

Yuriy Hulovatyy

CoRR, 2016

Local versus global biological network alignment.

[BibT_eX]

[DOI]

Lei Meng

Bioinform., 2016

2015

Global Network Alignment in the Context of Aging.

[BibT_eX]

[DOI]

Fazle Elahi Faisal

Han Zhao

IEEE ACM Trans. Comput. Biol. Bioinform., 2015

The post-genomic era of biological network alignment.

[BibT_eX]

[DOI]

EURASIP J. Bioinform. Syst. Biol., 2015

Proper evaluation of alignment-free network comparison methods.

[BibT_eX]

[DOI]

Ömer Nebil Yaveroglu

Bioinform., 2015

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

[BibT_eX]

[DOI]

Vikram Saraph

Bioinform., 2015

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

[BibT_eX]

[DOI]

Yuriy Hulovatyy

Huili Chen

Bioinform., 2015

Fair evaluation of global network aligners.

[BibT_eX]

[DOI]

Joseph Crawford

Yihan Sun

Algorithms Mol. Biol., 2015

Simultaneous Optimization of both Node and Edge Conservation in Network Alignment via WAVE.

[BibT_eX]

[DOI]

Proceedings of the Algorithms in Bioinformatics - 15th International Workshop, 2015

GREAT: GRaphlet Edge-based network AlignmenT.

[BibT_eX]

[DOI]

Joseph Crawford

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014

Networks' characteristics are important for systems biology.

[BibT_eX]

[DOI]

Netw. Sci., 2014

Network analysis improves interpretation of affective physiological data†.

[BibT_eX]

[DOI]

J. Complex Networks, 2014

MAGNA: Maximizing Accuracy in Global Network Alignment.

[BibT_eX]

[DOI]

Vikram Saraph

Bioinform., 2014

Dynamic networks reveal key players in aging.

[BibT_eX]

[DOI]

Fazle Elahi Faisal

Bioinform., 2014

Systematic Dynamic and Heterogeneous Analysis of Rich Social Network Data.

[BibT_eX]

[DOI]

Lei Meng

Proceedings of the Complex Networks V, 2014

Improving identification of key players in aging via network de-noising.

[BibT_eX]

[DOI]

Proceedings of the 5th ACM Conference on Bioinformatics, 2014

2013

Using Global Network Alignment In The Context Of Aging.

[BibT_eX]

[DOI]

Han Zhao

Fazle Elahi Faisal

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

[BibT_eX]

[DOI]

Ryan W. Solava

Ryan P. Michaels

CoRR, 2012

Graphlet-based edge clustering reveals pathogen-interacting proteins.

[BibT_eX]

[DOI]

Ryan W. Solava

Ryan P. Michaels

Bioinform., 2012

2010

Complementarity of network and sequence information in homologous proteins.

[BibT_eX]

[DOI]

Vesna Memisevic

J. Integr. Bioinform., 2010

An integrative approach to modeling biological networks.

[BibT_eX]

[DOI]

Vesna Memisevic

J. Integr. Bioinform., 2010

Protein interaction network topology uncovers melanogenesis regulatory network components within functional genomics datasets.

[BibT_eX]

[DOI]

BMC Syst. Biol., 2010

2008

GraphCrunch: A tool for large network analyses.

[BibT_eX]

[DOI]

Jason Lai