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Picture of John Kececioglu

John Kececioglu

Professor, Computer Science | Associate Professor, Genetics - GIDP | Associate Professor, Applied Mathematics - GIDP | Member of the Graduate Faculty | Professor, BIO5 Institute

Computer Science

Collaboration(9)

Hao Zhang
Donata Vercelli
Guang Yao
Joanna Masel
Saumya Debray

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Grants(8)

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Publications(49)

Recent

Computing shortest hyperpaths for pathway inference in cellular reaction networks

2023

computational biology, network analysis, pathway inference, cellular networks, hyperpath analysis

The Solar System Notification Alert Processing System SNAPS) Design, Architecture, and First Data Release SNAPShot1)

2023

space, data processing, system design, architecture, data release

Heuristic shortest hyperpaths in cell signaling hypergraphs

2022

cell signaling, hyperpaths, heuristic, hypergraphs, shortest

Computing optimal factories in metabolic networks with negative regulation

2022

metabolic networks, optimal factories, computing, negative regulation, factories

Fast approximate shortest hyperpaths in cell signaling hypergraphs

2021

cell signaling, hypergraphs, shortest paths, approximate algorithms, fast computation

The ANTARES astronomical time-domain event broker

2021

astronomy, time-domain, event detection, data analysis, astrophysics

Inferring pathways in cell signaling networks via shortest hyperpaths in directed hypergraphs

2021

cell signaling, network analysis, pathway inference, hypergraphs, directed networks

Predicting protein secondary structure by an ensemble through feature-based accuracy estimation

2020

protein structure, bioinformatics, machine learning, ensemble methods, predictive modeling

Predicting protein secondary structure via nearest neighbor search and metric learning

2020

protein structure, machine learning, bioinformatics, computational biology, data analysis

Boosting the accuracy of protein secondary structure prediction through nearest neighbor search and method hybridization

2020

protein structure, machine learning, algorithm optimization, biological prediction, data fusion