AJ has another paper accepted for publication! This time in the journal Bioinformatics. This paper presents the CausalMGM method for learning directed graphs over mixed data types (continuous and discrete variables). The method is validated in both simulated and real data from patients. Congratulations to AJ and to the whole team, …
Great news today. After many iterations, AJ’s paper was accepted for publication in the journal Neurosurgery. This paper presents the results of the analysis of gene, microRNA and protein expression from atherosclerotic carotid plaques in symptomatic and asymptomatic patients. Congratulations, AJ. UPDATE 2018-10-17: The paper is available from the publisher’s web …
Takis was invited to give a seminar on causal modeling, as it applies to genetic analysis, in the Wellcome Advanced Summer Course “Genetic Analysis of Mendelian and Complex Diseases”. This gave him a nice opportunity to visit his old workplace (Wellcome Genome Campus at Hinxton, UK) and see how much …
The paper of Vineet and Allen on “Evaluation of Causal Structure Learning Methods on Mixed Data Types” was accepted for oral presentation in the 2018 ACM SIGKDD Workshop on Causal Discovery. In this paper, we perform a thorough comparison of multiple methods for causal graph learning over mixed data types …
Dimitris is a co-author in a paper entitled “Respiratory microbiome profiling for etiologic diagnosis of pneumonia in mechanically ventilated patients“, which was accepted in Frontiers in Microbiology. He used probabilistic graphical models to analyze microbiome data, protein biomarkers and clinical data to identify which variables are more directly linked to bacterial culture …