| Dynamic networks reveal key players in aging FE Faisal, T Milenković Bioinformatics 30 (12), 1721-1729, 2014 | 118 | 2014 |
| The post-genomic era of biological network alignment FE Faisal, L Meng, J Crawford, T Milenković EURASIP Journal on Bioinformatics and Systems Biology 2015, 1-19, 2015 | 98 | 2015 |
| Global network alignment in the context of aging FE Faisal, H Zhao, T Milenković Proceedings of the 5th ACM Conference on Bioinformatics, Computational …, 2014 | 72 | 2014 |
| From homogeneous to heterogeneous network alignment via colored graphlets S Gu, J Johnson, FE Faisal, T Milenković Scientific reports 8 (1), 12524, 2018 | 60 | 2018 |
| GRAFENE: Graphlet-based alignment-free network approach integrates 3D structural and sequence (residue order) data to improve protein structural comparison FE Faisal, K Newaz, JL Chaney, J Li, SJ Emrich, PL Clark, T Milenkovic Scientific Reports 7 (14890), 2017 | 42 | 2017 |
| Global network alignment in the context of aging T Milenković, H Zhao, FE Faisal Proceedings of the International Conference on Bioinformatics, Computational …, 2013 | 34 | 2013 |
| An automated framework for hypotheses generation using literature V Abedi, R Zand, M Yeasin, FE Faisal BioData mining 5, 1-12, 2012 | 16 | 2012 |
| Improving identification of key players in aging via network de-noising and core inference B Yoo, FE Faisal, H Chen, T Milenković IEEE/ACM transactions on computational biology and bioinformatics 14 (5 …, 2015 | 9 | 2015 |
| Improving identification of key players in aging via network de-noising B Yoo, H Chen, FE Faisal, T Milenković Proceedings of the 5th ACM Conference on Bioinformatics, Computational …, 2014 | 4 | 2014 |
| Design of a high speed and low latency crypto-processor ASIC L Ali, N Roy, FE Faisal, MAM Ali, I Aris 2008 IEEE International Conference on Semiconductor Electronics, 96-98, 2008 | 4 | 2008 |
| From homogeneous to heterogeneous network alignment S Gu, J Johnson, FE Faisal, T Milenković arXiv preprint arXiv:1704.01221, 2017 | 1 | 2017 |
| Massively Parallel and near Linear Time Graph Analytics FE Faisal, Y Ineichen, ACI Malossi, P Staar, C Bekas, A Curioni Supercomputing, 2014 | 1* | 2014 |
| GRAFENE: Graphlet-based alignment-free network approach integrates 3D structural and sequence (residue order) data to improve protein structural comparison (vol 7, 14890, 2017) FE Faisal, K Newaz, JL Chaney, J Li, SJ Emrich, PL Clark, T Milenkovic SCIENTIFIC REPORTS 10 (1), 2020 | | 2020 |
| Author Correction: GRAFENE: Graphlet-based alignment-free network approach integrates 3D structural and sequence (residue order) data to improve protein structural comparison FE Faisal, K Newaz, JL Chaney, J Li, SJ Emrich, PL Clark, T Milenković Scientific Reports 10 (1), 13455, 2020 | | 2020 |
| New Network Analysis Approaches and Their Computational Biology Applications, with Focus on Dynamic Network Analysis and Network Comparison FE Faisal University of Notre Dame, 2016 | | 2016 |
| Network approach integrates 3D structural and sequence data to improve protein structural comparison FE Faisal, JL Chaney, K Newaz, J Li, SJ Emrich, PL Clark, T Milenkovic arXiv preprint arXiv:1605.07247, 2016 | | 2016 |
| Computing Network of Diseases and Pharmacological Entities through the Integration of Distributed Literature Mining and Ontology Mapping FE Faisal | | 2011 |
| Concurrent Computing in Matlab and its Application in Biomedical Image Processing FE Faisal, J Chen | | |
| Supplementary Information for: GRAFENE: Graphlet-based alignment-free network approach integrates 3D structural and sequence (residue order) data to improve protein structural … FE Faisal, K Newaz, JL Chaney, J Li, SJ Emrich, PL Clark, T Milenkovic | | |
Tijana MilenkovicUniversity of Notre DameDirección de correo verificada de nd.edu