Fatma-Elzahraa Eid

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In this project, an effective technique for site-selective, multicomponent assembly on the nanoand microscale has been developed. Creation of practical nanosystems using this technique is underway. This approach offers great promise for assembling arbitrary (not necessarily periodic) systems of different types of nanoscale components, such as electronics(More)
With abundance of biological data, computational prediction of gene regulatory networks (GRNs) from gene expression data has become more feasible. Although incorporating other prior knowledge (PK), along with gene expression data, greatly improves prediction accuracy, the overall accuracy is still low. PK in GRN inference can be categorized into noisy and(More)
MOTIVATION Can we predict protein-protein interactions (PPIs) of a novel virus with its host? Three major problems arise: the lack of known PPIs for that virus to learn from, the cost of learning about its proteins and the sequence dissimilarity among viral families that makes most methods inapplicable or inefficient. We develop DeNovo, a sequence-based(More)
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