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About us




Founded in 2013, Gnosis Data Analysis (Gnosis DA) is a University of Crete spin-off located in Heraklion, Crete, Greece.

Our mission: empowering companies and research institutions with powerful data analysis solutions and services.

Our personnel has a long experience in advanced statistics and machine learning, particularly in Predictive Analytics and Causal Analysis.

Predictive analytics: trends hidden in the data can predict the future evolution of markets, sale or more. Mathematical modelling and machine learning unveils these trends and enable prediction.

Causal Analysis: predicting what will happen is often not enough; sometimes the goal is to control future events. Discovering causal relationships in your data through causal analysis enables targeted interventions.

Products & Services

Data Analysis Consulting Services, Systems and Software.

BioSignature Discoverer

BioSignature  Discoverer (BioSD) is a software plugin for the CLCbio bioinformatics platform. BioSD allows to discover the minimal sets of molecular quantities that are maximally predictive for a given outcome in high-throughput, omics data.

Find which genes are associated with Alzheimer, which metabolites predict crop quality, or which methylation patterns predict cancer survival: reliably, quickly, easily.

In collaboration with CLCbio

Find out more.

Consulting Services

Gnosis DA offers a complete spectrum of data-analysis services, providing support in all phases of a scientific or business analytics study

Scientific Studies

"To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of."
R.A. Fisher, 1938

Realizing a scientific study requires to careful plan the experiments to perform, including selecting the most appropriate sampling-methodology, an accurate estimation of the needed sample size, and the identification of the statistical methods that are more suitable for confirming / rejecting the hypotheses of the study.

Gnosis DA assists researchers in all phases of their scientific work: experimental design, data-collection quality control, interpretation, visualization and analysis of the final results.

Business Analytics

Business Intelligence can tell you "what is going on", reporting metrics and statistics on various aspects of your business performance. Business Analytics takes a step further, by turning these data in information and insight for better supporting decision-making.

Contact Gnosis DA for a consultancy regarding how Business Analytics can boost your activity.

PROJECTS


Current


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Just Add Data: Intelligent, Automatic Analysis of Big Biomedical Data

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THE HUNT PROJECT

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Predictive Analysis for Impact Wrap


Past


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Causal analysis services for GEICO

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PREDICTING SUICIDE ATTEMPTS IN SOUTH WEST YORKSHIRE, UK

Our Team

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Ioannis Tsamardinos

CEO & Co-Founder,
Associate Professor,
Department of Computer Science,
University of Crete
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VINCENZO LAGANI

COO & Co-Founder,
Postgraduate research fellow, Department of Computer Science, University of Crete, Hellas
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GEORGIOS BORBOUDAKIS

Lead Software Engineer & Co-Founder,
Ph.D. student, Department of Computer Science, University of Crete, Hellas
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PAVLOS CHARONYKTAKIS

Scientific Programmer
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MARIA XILOURI

CFO
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Vasileios Vasilakakis

Data Analyst

 

PUBLICATIONS

JAD BIO

  • M. Adamou, G. Antoniou, E. Greasidou, V. Lagani, P. Charonyktakis, and I. Tsamardinos, "Mining free-text medical notes for suicide risk assessment." In Proceedings of the 10th hellenic conference on artificial intelligence, p. 47. ACM, 2018 [Link]
  • G. Orfanoudaki, M. Markaki, K. Chatzi, I. Tsamardinos, and A. Economou, "MatureP: prediction of secreted proteins with exclusive information from their mature regions", Scientific Reports 7, 2017 [Link]
  • O. Simantiraki, P. Charonyktakis, A. Pampouchidou, M. Tsiknakis, and M. Cooke, "Glottal Source Features for Automatic Speech-based Depression Assessment", INTERSPEECH, 2017 [PDF]
  • G. Borboudakis, T. Stergiannakos, M. G. Frysali, E. Klontzas, I. Tsamardinos, and G. E. Froudakis, "Chemically-intuited, large-scale screening of mofs by machine learning techniques", Nature Computational Materials, 2017 [Link]

BIOSIGNATURE DISCOVERER

  • S. Moschen, J. Higgins, J. A. Di Rienzo, R. A. Heinz, N. Paniego, and P. Fernandez, "Network and biosignature analysis for the integration of transcriptomic and metabolomic data to characterize leaf senescence process in sunflower", BMC Bioinformatics 17, no. 5, 2016 [Link]

 

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