Seminar za računarstvo i primenjenu matematiku, 10. mart 2020.

Naredni sastanak Seminara biće održan u utorak, 10. marta 2020. u sali 301f Matematičkog instituta SANU sa početkom u 14:15.

Predavač: Prof.dr  Vladimir Brusić, Li Dak Sum Chair of Computer Science, University of Nottingham Ningbo China

Naslov predavanja: CLASSIFICATION OF FIVE CELL TYPES FROM PBMC SAMPLES USING SINGLE CELL TRANSCRIPTOMICS AND ARTIFICIAL NEURAL NETWORKS

Apstrakt:
We used 27 human single cell transcriptomics (SCT) data sets to develop an artificial neural network (ANN) model for classification of Peripheral Blood Mononuclear Cells (PBMC). We demonstrated that highly accurate models for classification of PBMC subtypes can be developed by combining multiple independent data sets to form training data sets. A significant data preparation effort was needed for building predictive models. Using a data set of ~120,000 single cell instances we showed the accuracy of classification of PBMC call of ~90%. Optimization techniques and addition of new high-quality data sets for model training are expected to improve PBMC subtype classification accuracy. The exclusion of genes that have zero transcript expression and the addition of new files with 32 cycles of training and testing has improved classification accuracy to ~92%.

Kratka biografija predavača:
Dr. Vladimir Brusić is a Li Dak Sum Chair Professor in Computer Science at the University of Nottingham Ningbo China. He is an adjunct professor at Boston University (USA). He studied at University of Belgrade, Serbia, La Trobe University (Australia), Royal Melbourne Institute of Technology (Australia), and Rutgers University (USA). Professor Brusić had previously held senior research or academic positions internationally, including Dana-Farber Cancer Institute (USA), University of Queensland (Australia), Institute for Infocomm Research (Singapore) and Walter and Eliza Hall Institute of Medical Research (Australia). He published more than 200 scientific and technology articles that have attracted more than 14,000 citations and has published two patents related to medical diagnostics and vaccine design. Prof. Brusić has worked in AI and Knowledge Management for nearly 30 years. He developed new AI solutions for vaccine research, immunology, infectious disease, autoimmunity and cancer research and is currently working in Digital Health.



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