Embedded Files
About
About
This workshop is organized by COST Action CA18131: 'Statistical and machine learning techniques in human microbiome studies' and the Department of Biology, University of Tirana (Albania).
This workshop is organized by COST Action CA18131: 'Statistical and machine learning techniques in human microbiome studies' and the Department of Biology, University of Tirana (Albania).
The goal of the event is to introduce the audience to the advances in the statistical/machine learning techniques used to analyze human microbiome and transcriptomics data. The activity will also serve as an opportunity to foster connections between Albanian researchers and the statistical\machine learning experts inside the ML4Microbiome COST Action.
Speakers
Speakers
Group leader in computational science and machine learning, with a specialization in human microbiome research at the University of Turku, Finland.
Research Scientist in Data Science & Microbiome at MetaGenoPolis, INRAE, France. Interested in machine learning for the exploration of the human gut metagenome and metaproteome.
Researcher at Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Portugal. Interested in the development of computational tools based on data mining and machine learning to extract meaningful information from high-dimensional biomedical data.
Assistant Professor at the Faculty of Veterinary Medicine of Utrecht University. He focuses on the analysis of bacterial metagenomes for comparative genomics, molecular epidemiology and linking bacterial genotype to phenotype.
Program
Program
May 24, 2022
3:30 - 3:45
Welcome addresses
Welcome addresses
Assoc. Prof. Dr. Eglantina Kalluçi, Vice-dean, Faculty of Natural Sciences, University of Tirana; ML4Microbiome' MC for Albania
Prof. Dr Sajmir Beqiraj, Head of the Department of Biology, University of Tirana
Dr Domenica D'Elia, CNR-Institute for Biomedical Technologies, Bari, Italy; Chair of the ML4Microbiome WG4
3:45 - 4:20
Machine Learning for Human Microbiome Research: State of the art and Open Challenges
Machine Learning for Human Microbiome Research: State of the art and Open Challenges
Dr Magali Berland, MetaGenoPolis, Paris-Saclay University, INRAE, France
4:20 - 4:55
Advances in Microbiome Data Science with R/Bioconductor
Advances in Microbiome Data Science with R/Bioconductor
Assoc. Prof. Dr. Leo Lahti, University of Turku, Finland
4:55 - 5:05
Coffee break
Coffee break
5:05 - 5:40
Biomarker discovery in cancer transcriptomic data using network-based regularization
Biomarker discovery in cancer transcriptomic data using network-based regularization
Dr Marta B Lopes, NOVA University of Lisboa, Portugal
5:40 - 6:15
Classifying microbiome and resistome using machine learning
Classifying microbiome and resistome using machine learning
Dr Aldert Zomer, Utrecht University, Netherlands
6:15
Closing remarks & free discussions
Closing remarks & free discussions
The Venue
The Venue
Faculty of Natural Sciences, University of Tirana, Albania
Faculty of Natural Sciences, University of Tirana, Albania
Building B, Room 103
Address: Bulevardi Zogu I, Tirana 1001, Albania
Address: Bulevardi Zogu I, Tirana 1001, Albania
Participation is free, everyone interested is welcome to join.
Participation is free, everyone interested is welcome to join.
Organizers
Dr. Eliana Ibrahimi, Department of Biology, University of Tirana, Albania
Dr. Domenica D'Elia, CNR-Institute for Biomedical Technologies, Bari, Italy
Dr. Fundime Miri, Department of Biology, University of Tirana, Albania
Contact: eliana.ibrahimi@fshn.edu.al
Page updated
Report abuse