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2017 | OriginalPaper | Chapter

Prediction of Thyroid Cancer Genes Using an Ensemble of Post Translational Modification, Semantic and Structural Similarity Based Clustering Results

Authors : Anup Kumar Halder, Pritha Dutta, Mahantapas Kundu, Mita Nasipuri, Subhadip Basu

Published in: Pattern Recognition and Machine Intelligence

Publisher: Springer International Publishing

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Abstract

Thyroid cancer is one of the most prevalent cancers which affects a large population all over the world. To find effective therapeutic measures against thyroid cancer, it is necessary to identify potential genes which lead to this disease. In this paper, we consider an ensemble of structural, semantic and post translational modification (PTM) similarities based clustering of human genes using known thyroid cancer genes as seeds. Our purpose is to identify potential genes which may be responsible for thyroid cancer from the clusters.

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previous chapter A Quasi-Clique Mining Algorithm for Analysis of the Human Protein-Protein Interaction Network
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Metadata
Title
Prediction of Thyroid Cancer Genes Using an Ensemble of Post Translational Modification, Semantic and Structural Similarity Based Clustering Results
Authors
Anup Kumar Halder
Pritha Dutta
Mahantapas Kundu
Mita Nasipuri
Subhadip Basu
Copyright Year
2017
Book
Pattern Recognition and Machine Intelligence

Print ISBN: 978-3-319-69899-1

Electronic ISBN: 978-3-319-69900-4

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-69900-4_53

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