Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Parallel Protein Community Detection in Large-scale PPI Networks Based
  on Multi-source Learning   Protein interactions constitute the fundamental building block of almost
every life activity. Identifying protein communities from Protein-Protein
Interaction (PPI) networks is essential to understand the principles of
cellular organization and explore the causes of various diseases. It is
critical to integrate multiple data resources to identify reliable protein
communities that have biological significance and improve the performance of
community detection methods for large-scale PPI networks. In this paper, we
propose a Multi-source Learning based Protein Community Detection (MLPCD)
algorithm by integrating Gene Expression Data (GED) and a parallel solution of
MLPCD using cloud computing technology. To effectively discover the biological
functions of proteins that participating in different cellular processes, GED
under different conditions is integrated with the original PPI network to
reconstruct a Weighted-PPI (WPPI) network. To flexibly identify protein
communities of different scales, we define community modularity and functional
cohesion measurements and detect protein communities from WPPI using an
agglomerative method. In addition, we respectively compare the detected
communities with known protein complexes and evaluate the functional enrichment
of protein function modules using Gene Ontology annotations. Moreover, we
implement a parallel version of the MLPCD algorithm on the Apache Spark
platform to enhance the performance of the algorithm for large-scale realistic
PPI networks. Extensive experimental results indicate the superiority and
notable advantages of the MLPCD algorithm over the relevant algorithms in terms
of accuracy and performance.

17
The categories of this paper are: q-fin
19
The categories of this paper are: eess
36
The categories of this paper are: cmp-lg
7
The categories of this paper are: hep-th
34
The categories of this paper are: chem-ph
23
The categories of this paper are: solv-int
0
The categories of this paper are: hep-ph
26
The categories of this paper are: bayes-an
37
The categories of this paper are: supr-con
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The categories of this paper are: nucl-th
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The categories of this paper are: math-ph
11
The categories of this paper are: hep-lat
2
The categories of this paper are: math
10
The categories of this paper are: q-bio
25
The categories of this paper are: patt-sol
35
The categories of this paper are: mtrl-th