People

Gregorio Alanis-Lobato

PhD Students

Research Associate

Institute of Molecular Biology

Mainz, Germany

http://www.greg-al.info

Research Interests

Complex network topology and geometry

Complex systems

Machine learning

Computational Biology

Human disease and personalised treatment

Epigenetics

Selected Publications

Alanis-Lobato, G., Cannistraci, C.V. & Ravasi, T. Exploring the Genetics Underlying Autoimmune Diseases with Network Analysis and Link Prediction. Proceedings of the MECBME 2014, 167-170.


Alanis-Lobato, G., Cannistraci, C.V. & Ravasi, T. Exploitation of genetic interaction network topology for the prediction of epistatic behavior. Genomics 102(4), 202-208.

Cannistraci, C.V., Alanis-Lobato, G. & Ravasi, T. Minimum curvilinearity to enhance topological prediction of protein interactions by network embedding. Bioinformatics 29, i199-i209.

Cannistraci, C.V., Alanis-Lobato, G. & Ravasi, T. From link-prediction in brain connectomes and protein interactomes to the local-community-paradigm in complex networks. Sci. Rep. 3, 1613. 

Education

  • 2011-2014 PhD Computer Science, King Abdullah University of Science and Technology (KAUST), Saudi Arabia​
  • 2009-2010 MSc Computer Science following the Artificial Intelligence/Bioscience track, Division of Computer, Electrical and Mathematical Sciences and Engineering, KAUST, Saudi Arabia
  • 2005-2009 BEng Computer Systems Engineering, Department of Computer Systems, ESCOM - National Polytechnic Institute (NPI), Mexico
  • 2002-2005 Technician in Software Programming, Department of Programming, CECyT 9 “Juan de Dios Bátiz Paredes” - NPI, Mexico