MXM participates to WCLC 2017

Two posters co-authored by MXM researchers were displayed at the World Conference on Lung Cancer 2017, held in Yokohama, Japan, from the 15th to the 18th of October. The first poster illustrates a new stratification model for identifying subjects at high risk of developing lung cancer, and that should undergo further clinical assessment. Our second […]

Keynote lecture of Prof. Tsamardinos at HSCBB17

Prof. Ioannis Tsamardinos gave a keynote lecture at The 12th Conference of the Hellenic Society for Computational Biology and Bioinformatics (11-13 October, 2017, Athens, Greece). The subject of the lecture is Automating predictive modelling and knowledge discovery for biomedical application. Find out more at the conference website: HSCBB17


The 10th Conference of Hellenic Bioinformatics just finished, and member of the MXM laboratory have presented several works and posters. Have a look to the program here: Presentations: “Reconstructing Ikaros Regulatory Network by Applying Causal Discovery Methods on a Compendium of Gene Expression Profiles from Acute Lymphoblastic Leukemia Patient” Authors: Maria Nikoloudaki, Vincenzo Lagani, […]

MASSCAUSAL 2 Workshop success!

For the second time in three years the MASSCAUSAL workshop was held in Crete, Greece, co-funded by the University of Crete, University of Amsterdam and the European Research Council (ERC). From the 1st to the 3rd of September 2017 experts in Causal Discovery and Mass / Flow Cytometry met together for discussing the latest developments […]

New publication on Journal of Statistical Software

The Statistically Equivalent Signatures (SES) algorithm was published today on the Journal of Statistical Software: The SES algorithm allows to identify multiple sets of predictors, all of which have equivalent predictive power and minimal number of elements. SES is implemented in the R MXM package, freely available on CRAN:

Two new scientific works To be presented at The 2017 ACM SIGKDD Workshop on Causal Discovery, Halifax, Nova Scotia, Canada, Aug 14, 2017 – Aug 14, 2017

Prof Tsamardinos will present two new scientific works at The 2017 ACM SIGKDD Workshop on Causal Discovery, Halifax, Nova Scotia, Canada, Aug 14, 2017 – Aug 14, 2017: Tsagris M., Borboudakis G., Lagani V. and Tsamardinos I. (2017). Constraint-based Causal Discovery with Mixed Data. 2017 ACM SIGKDD Workshop on Causal Discovery. And Tsirlis K., Lagani […]

Dr. Tsagris invited talk at the 2017 Annual Meeting of the Statistical Society of Canada

Dr. Tsagris gave an invited talk at the 2017 Annual Meeting of the Statistical Society of Canada (University of Manitoba, Winnipeg, June 11-14). The title of the talk is “A Dirichlet Regression Model for Compositional Data with Zeros” Abastract: Compositional data are met in many different fields, such as economics, archaeometry, ecology, geology and political […]

New publication on Scientific Report!

Dr. Maria Markaki and Prof Tsamardinos participated in a new paper published on Scientific Report. In this work an advanced machine-learning pipeline, namely Just Add Data Bio (JADBio) is used for deriving MatureP, a classifier able to predict secreted proteins from information from their mature regions. Check it online: link to paper

Prof. Tsamardinos invited talk at the 2017 ACM SIGKDD Workshop on Causal Discovery

On the 14th of August 2017 Prof. Tsamardinos will give an invited talk at the 2017 ACM SIGKDD Workshop on Causal Discovery. Title: “Advances in Causal-Based Feature Selection” The talk will illustrate the past and explore the future of feature selection algorithms based on Causal Discovery theory. Link to the conference Abstract: Feature selection (a.k.a. […]

New CAUSALPATH publication on SCENERY tool

Our on-line service SCENERY is now featured in a new publication on Nucleic Acid Research. SCENERY allows researcher to apply (causal) network reconstruction methods to flow and mass cytometry data, in order to identify putative interactions across measured quantities (e.g., proteins). SCENERY can be accessed at, while the new publication can be read here

Invited talk to the 2nd international congress “Evolution and Cancer: Cancer across life”. Thessaloniki 29/6-1/7/2017

Prof. Tsamardinos will give an invited talk during the 2nd international congress “Evolution and Cancer: Cancer across life. The congress will be held in the Vlatades monastery, Thessaloniki from the 29th June to 1st of July 2017 Title of the talk: “From human to artificial intelligence, to artificial intelligence for cancer research”

Invited talk to DALI 2017- by Prof. Ioannis Tsamardinos

Prof. Tsamardinos gave an invited talk  at the DALI 2017 meeting, held in Tenerife, Canary  Islands, 18-20/4/2017. His talk focused on applying causal analysis on a complex biological problem, showing how the idiosyncrasies  of real-world tasks can drive the development of new causal algorithms and approaches. Title:  Causal Inference from Single Cell, Mass Cytometry Data: an Integrative […]

Prof. Tsamardinos’s invited talks in Athens

Prof. Tsamardinos visited Athens during 24-25 of November and gave two invited talks about his scientific work.  The first one was held on the 24th of November, about: “Advances in Feature Selection in Data Analytics”, at the  Department of  Digital Systems  of University of Piraeus and the second  one on  the 25th of November about:” Logic-Based […]

We are hiring !

Job description We are looking for an enthusiastic, highly motivated software developer with a strong background in full-stack web applications to join our team and be the lead programmer for our data analysis web platform. The platform will host applications on the cloud providing data analytics solutions for researchers and practitioners across disciplines. As a software developer, you […]

Logic-Based Integrative Causal Discovery with Business Applications

Prof. Tsamardinos talk at LINCS (Laboratory of Information, Networking and Communication Sciences), Paris, France 24/02/2016. Link to the video Abstract: Computational Causal Discovery aims to induce causal models,causal networks, and causal relations from observational data withoutperforming or by performing only few interventions (perbutations,manipulations) of a system. While predictive analytics create models thatpredict customer behavior for […]

MXM participation on the 10th PACBB conference

Giorgos Athineou, MSc student at the Computer Science Department, UOC and member of MXM group presented the paper “SCENERY: a Web-Based Application for Network Reconstruction and Visualization of Cytometry Data.” on the 10th International Conference on Practical Applications of Computational Biology & Bioinformatics that took place in Seville  Spain  1-3 of June 2016.

Integrative Causal Analysis paper accepted at KDD2016

The ETIO algorithm is a innovative causal analysis method that allows identifying causal relationships by integrating several datasets obtained under different experimental conditions. The algorithm will be presented in the prestigious ACM SIGKDD Conference on Knowledge Discovering and Data Mining (KDD 2016, 13 – 17 August). KDD is an international event that brings together the top-players in […]

Prof. Tsamardinos’s talk at the 9th Hellenic Conference on Artificial Intelligence 18-20 May 2016

Prof. Tsamardinos  will present recent developments in logic-based causal discovery, based on the latest JMLR paper with Sofia Triantafillou:  “Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets”   during the 9th Hellenic   Conference on  Artificial Intelligence held in Grand Hotel Palace Thessaloniki, 18-20 May 2016.

Project “Cancer Biomarkers in HUNT” receives 300.000$ additional funds from the ALCF-IASLC Joint International Fellowship Award for The Early Detection of Lung Cancer

Robin Mjelle, Ph.D. and researcher at the Norwegian University of Science and Technology, was awarded a first-time foundation grant of $300,000 for his innovative work in the identification of biomarkers for the early detection of lung cancer. The grant was assigned by the Bonnie J. Addario Lung Cancer Foundation (ALCF) and the International Association for the Study of Lung Cancer (IASLC). These […]

MXM participates in the 1st International NTNU Symposium on Current and Future Clinical Biomarkers of Cancer

Prof. Ioannis Tsamardinos and Dr. Vincenzo Lagani will give an invited talk on “Signature discovery in multi–omics datasets, novel tools” at the 1st International NTNU Symposium on Current and Future Clinical Biomarkers of Cancer, to be held in Trondheim, Norway, June 16th – 17th. Check the symposium website for more information

Introducing Logic-based Integrative Causal Discovery

Prof. Tsamardinos will present the field of logic-based integrative causal discovery during two different talks to be held in Paris, France, in the upcoming week. The talks will illustrate the characteristics of a new, logic-based approach to causal discovery, that has been partly pioneered by our group. This approach is more robust to statistical errors, makes more […]

MXM invited talk at ELIXIR meeting

ELIXIR is an inter-governmental organisation which builds on existing data resources and services within Europe. Its main objective is orchestrating the collection, quality control and archiving of large amounts of biological data produced by life science experiments. Prof. Tsamardinos will give an invited talk at the forthcoming meeting “In silico infrastructures for Life Science’s Big Data – and the […]

Talk announcement of Prof Jan Lemeire February 16th room A113 CSD at 10:00

title: “Causal structure learning under unfaithfulness.”   abstract:” Inferring from experimental data the causal relations among variables is a scientific important but challenging task. One of the approaches relies on the probabilistic independencies between variables. Algorithms have been designed that allow the construction of the causal model of the system. Although powerful, one of the fundamental […]

Invited speech by Yannis Pantazis

Between January 19 – 22, 2016, Yannis Pantazis attended as an invited speaker the “Uncertainty Quantification for Multiscale Stochastic Systems and Applications” workshop held at IPAM, UCLA. The title of the talk was “Sensitivity analysis, uncertainty quantification and inference in stochastic dynamics“.

End of the STATegra project

The EU funded STATegra project has come to its end, after three years of intense research and development of novel statistical methods for the integration of heterogeneous omics data. Information regarding the objectives of the project, the activities carried in these three years and the scientific and commercial outcomes are available on the project website: […]

STATegra Summer School 2015

The STATegra Summer School in Omics and Data Integration has been held in Benicassim, Spain, from the 7th to the 11th of September 2015, providing training to more than 30 among experimentalists and bioinformaticians in the analysis of multi-omics experiments. Further information on the summer school website:

MXM participation to SMODIA 2015

The second edition of the “Statistical Methods for Omics Data Integration and Analysis” conference has been held in Valencia, September 14-16, 2015. MXM has participated with a talk regarding application of data-integration methods for the analysis of public microarray data in Leukemia patients. The program of the conference and further information on SMODIA2015 website:

Lecture by Karen Sachs, 3 September

“Use of single cell proteomics measurements for elucidation of biomolecular regulatory networks” Speaker: Karen Sachs, Stanford University School of Medicine Date: 03 September 2015 Time: 11:00 – 13:00 Location: Seminar Room I, FORTH, Heraklion, Crete Host: Ioannis Tsamardinos Abstract: We have previously introduced the application of probabilistic models for elucidation of statistical relationships from single […]

From July 1st to July 3rd, Yannis Pantazis attended the workshop “Mathematical Trends in Reaction Network Theory”

From July 1st to July 3rd, Yannis Pantazis attended the workshop “Mathematical Trends in Reaction Network Theory” at Copenhagen, Denmark. He presented a poster entitled “Pathwise Information-theoretic Metrics for Parametric Sensitivity Analysis” where the relative entropy rate and the associated path Fisher information matrix were demonstrated as a means of assessing the parameters’ sensitivities.

LECTURE ANNOUNCEMENT:Alessio Farcomeni, 30 April

“Methods for massive multiple testing under dependence” Speaker: Alessio Farcomeni, Assistant Professor in Medical Statistics at Sapienza University of Rome Date: 30 April 2015 Time: 12:00 – 13:00 Location: Seminar Room I, FORTH, Heraklion, Crete Host: Ioannis Tsamardinos Abstract: Issues about the global level arise whenever many hypotheses are tested at once. A common approach […]

Best Poster of the Year Award

Our work has been awarded with the Boeringer Ingelheim Cancer Research Award (Best Abstract / Poster of the Year) 2014 from the Norwegian Lung Cancer Group. This is joint work with our NTNU collaborators involving the analysis of case-control molecular profiles of lung cancer from the HUNT biobank. For more information see The poster […]

End of an Era for the Bioinformatics Laboratory

As of 1-1-2015 the Bioinformatics Laboratory of the Institute of Computer Science at the Foundation for Research and Technology, Hellas has been merged with the Computational Medicine Laboratory to yield the Computational BioMedicine Laboratory ( ) . The new laboratory’s Head is Dr. Kostas Marias. As the Head of the former Bioinformatics Laboratory, I (Prof. […]

Smodia2014 Workshop

On behalf of the STATegra consortium our group participated in the organization of a workshop titled “Statistical Methods for Omics Data Integration and Analysis, SMODIA”. The workshop took place in November 10-12, 2014 in Heraklion, Crete, Greece. It was organized as part of the dissemination efforts of the STATegra FP7 EU project, titled “User-driven Development […]