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 scenery.csd.uoc.gr, while the new publication can be read here
With great pleasure we announce the second International Workshop on Computational methods for single-cell data. The event is invitation-only and is jointly hosted by the University of Crete in collaboration with the Karolinska Institutet and the University of Amsterdam under the aegis of the European Research Council (ERC). [see link]
On the 12th of May Dr. George Arabatzis, ETH-Zurich, will give the talk “Bayesian Uncertainty Quantification: Applications in Pharmacodynamics and Molecular Dynamics”.
Time and place: 12:00 in room n. H204 (CSD building).
Host: Dr. Yannis Pantazis.
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”
The SciLife facility (Stockholm, Sweden) processed our biological samples and the data are now under preparation and quality checking.
This CyTOF dataset will allow to identify the effect of TGFB1 and TGFB3 on CD4+ immune cells, using the causal discovery methods developed in CAUSALPATH
On March 28, Yannis Pantazis, PhD, gave an invited talk at the Scaling Cascade in Complex Systems workshop held at the Free University of Berlin. The title of the talk is “Information-theoretic Uncertainty and Sensitivity Bounds for Stochastic Dynamics and Rare Events“. More info at:
The preprint version of our new publication is now available on bioRxiv. This work applies two distinct causal discoveries methods on mass-cytometry (CyTOF) data, producing causal findings that are reproducible across two independent studies. Check the full text here: https://t.co/JmW59B3nmt
Following our annual tradition we celebrated the coming of the new year by “cutting” the cake, better known as Vasilopita.(https://en.wikipedia.org/wiki/Vasilopita).
This year, Klio was lucky one !
Happy New Year MxMers!