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Maxat Kulmanov

Maxat Kulmanov is a Ph.D. student at KAUST under Prof. Robert Hoehndorf

Biography

​My interests are bioinformatics, knowledge representation and reasoning, machine learning, neural networks, semantic web and algorithms. Interested in knowledge discovery and data integration using artificial intelligence and semantic web technologies in biology and biomedicine. 

All sessions by Maxat Kulmanov

DeepPheno: Predicting single gene knockout phenotypes
02:55 PM

Predicting the phenotypes resulting from molecular perturbations is one of the key challenges in genetics. Both forward and reverse genetic screen are employed to identify the molecular mechanisms underlying phenotypes and disease, and these resulted in a large number of genotype-phenotype association being available for humans and model organisms.

Maxat Kulmanov

Maxat Kulmanov is a Ph.D. student at KAUST under Prof. Robert Hoehndorf

Details