Fazle Elahi Faisal
Fazle Elahi Faisal
Microsoft
Verified email at alumni.nd.edu
Title
Cited by
Cited by
Year
Dynamic networks reveal key players in aging
FE Faisal, T Milenković
Bioinformatics 30 (12), 1721-1729, 2014
872014
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), 3, 2015
692015
Global network alignment in the context of aging
FE Faisal, H Zhao, T Milenković
IEEE/ACM Transactions on Computational Biology and Bioinformatics 12 (1), 40-52, 2014
512014
Global network alignment in the context of aging
T Milenković, H Zhao, FE Faisal
Proceedings of the International Conference on Bioinformatics, Computational …, 2013
302013
From homogeneous to heterogeneous network alignment via colored graphlets
S Gu, J Johnson, FE Faisal, T Milenković
Scientific reports 8 (1), 1-16, 2018
172018
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
152017
An automated framework for hypotheses generation using literature
V Abedi, R Zand, M Yeasin, FE Faisal
BioData mining 5 (1), 13, 2012
122012
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
72015
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
42008
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
32014
From homogeneous to heterogeneous network alignment
S Gu, J Johnson, FE Faisal, T Milenković
arXiv preprint arXiv:1704.01221, 2017
12017
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), 1-5, 2020
2020
Network approach integrates 3D structural and sequence data to improve protein structural comparison
FF Khalique Newaz, J Chaney, J Li, S Emrich, P Clark, T Milenkovic
2018
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
Massively Parallel and near Linear Time Graph Analytics
FE Faisal, Y Ineichen, ACI Malossi, P Staar, C Bekas, A Curioni
Supercomputing, 2014
2014
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
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