الفهرس 
صفحة العنوانOnly 14 pages are availabe for public view
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Abstract
Discovering Protein-Protein Interactions (PPI) is an area of active
research in computational biology. Identifying interactions among
proteins was shown to help discover new drugs and prevent many
diseases. The interactions between HIV -1 proteins and Human
proteins is a particular PPI problem which study might lead to the
discovery of important interactions responsible for Acquired
Immune Deficiency Syndrome (AIDS) .This thesis presents an
algorithm that applies the data mining for extracting hierarchical bi-
clusters and minimal covers of PPI without losing information. The
COARMN algorithm is based on the frequent closed item sets
framework to efficiently generate a hierarchy of conceptual clusters
and non-redundant sets of association rules with supporting object
lists to integrate additional information about proteins. Experimental
results show that the COARMN algorithm is more accurate than