Personalized_Medicine_A_New_Medical_and_Social_Challenge
spectrometry (AP/MS),^2 which identifies protein complexes, are the most widely used experimental methods for mapping physical p ...
system-level analysis. This is because the use of network formalism enabled us to apply a wide variety of mathematical tools to ...
Along with molecular data, clinical data (e.g., patient history, laboratory anal- ysis, ultrasound parameters, etc.) have been s ...
biological knowledge. For this purpose, we give a detailed description of three most commonly used, state-of-the-art computation ...
network. For network-based approaches for protein function prediction we refer readers to a review paper by Sharanet al.( 2007 ) ...
similarity and infer new drugs that can perform the same action (have the same target) as the drugs in the group to which they b ...
human diseases on phenotypic level^29 (see Sect.3.1). However, this classification lacks a precise molecular characterization of ...
2.4 Prioritization of Disease Genes Prioritization of disease-causing genes is a problem of great importance in human health and ...
demonstrating its superior performance. Aertset al.( 2006 ) perform latedata integration (for classification of data integration ...
examine the structure of these networks by applying graph theoretic approaches and to further bridge the structural characterist ...
been used (Table 1 ): General Repository for Interaction Datasets (BioGRID),^48 Search Tool for the Retrieval of Interacting Gen ...
for many different species by RNA microarray technology, which enabled massive parallel measurement of expressions of thousands ...
network, nodes represent genes and edges connect two genes if they exhibit a positive or a negative genetic interaction. Experim ...
Online Mendelian Inheritance in Man (OMIM) is an online catalog of curated information on human genes and genetic disorders.^69 ...
SuperTarget^76 is a comprehensive drug-target database obtained by combining various drug-related information, such as adverse ...
3.1.9 Ontology Data Ontology is the structural framework for representing knowledge as a hierarchy of terms and their interrelat ...
Annotation of genes with GO terms can be represented as a bipartite network, with gene and GO term sets representing partitions ...
weights. If a graph isundirected, its adjacency matrix is symmetric. A great computational disadvantage of this representation i ...
form ofmust-linkandcannot linkconstraints, into the clustering procedure.^96 These constraints indicate whether two data objects ...
4 Integration Methods As seen in Sect.3.1, advances of experimental techniques have generated large amounts of data describing b ...
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