About Majed Alzahrani Majed Alzahrani Ph.D., Computer Science machine learning structural bioinformatics synthetic biology Majed Alzahrani obtained PhD degree in Computer Science from King Abdullah University of Science and Technology in 2017. His PhD thesis supervisor was Professor Xin Gao. After graduating, he joined Saudi Aramco as a data scientist in its Drilling Data Science unit. Working in one of the largest companies in the world is a dream come true for many, for Majed Alzahrani, things couldn't be better. Research Interest Majed's research interests were in machine learning, structural bioinformatics, synthetic biology. Events Presented Events May 14 - May 20, 2017 Mining Genome-Scale Growth Phenotype Data through Constant-Column Biclustering Majed Alzahrani, Ph.D., Computer Science May 17, 15:00 - 17:00 B3 L5 R5209 data mining machine learning Computational biology Growth phenotype profiling of genome-wide gene-deletion strains overstresses conditions can offer a clear picture that the essentiality of genes depends on environmental conditions. In this dissertation, we first demonstrate that detecting such "co-fit" gene groups can be cast as a less well-studied problem in biclustering, i.e., constant-column biclustering. Despite significant advances in biclustering techniques, very few were designed for mining in growth phenotype data.
Mining Genome-Scale Growth Phenotype Data through Constant-Column Biclustering Majed Alzahrani, Ph.D., Computer Science May 17, 15:00 - 17:00 B3 L5 R5209 data mining machine learning Computational biology Growth phenotype profiling of genome-wide gene-deletion strains overstresses conditions can offer a clear picture that the essentiality of genes depends on environmental conditions. In this dissertation, we first demonstrate that detecting such "co-fit" gene groups can be cast as a less well-studied problem in biclustering, i.e., constant-column biclustering. Despite significant advances in biclustering techniques, very few were designed for mining in growth phenotype data.
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