An accurate clustering algorithm for fast protein-profiling using SCICA on MALDI-TOF

Amit Acharyya; Mavuduru Neehar; Ganesh R. Naik

doi:10.1109/ISCAS.2015.7168572

An accurate clustering algorithm for fast protein-profiling using SCICA on MALDI-TOF

Amit Acharyya, Mavuduru Neehar, Ganesh R. Naik

Western Sydney University

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

4 Citations (Scopus)

Abstract

![CDATA[In this paper we propose an accurate clustering algorithm as the necessary step of the Single Channel Independent Component Analysis (SCICA) in the context of the fast extraction of protein profiles from the mass spectra (MALDI-TOF) data. In general K-means clustering is employed for clustering of the basis vectors. However given its iterative and statistical nature, convergence to the same clusters for the same data sets is not always guaranteed making it inaccurate, especially in protein-profiling where reliability of the bio-marker based disease detection and diagnosis depend immensely on the reliability of the clustering algorithm. Furthermore the proposed algorithm does not involve any arithmetic computations helping expedite the entire SCICA process.]]

Original language	English
Title of host publication	Proceedings of the 2015 IEEE International Symposium on Circuits and Systems (ISCAS 2015), 24-27 May 2015, Lisbon, Portugal
Publisher	IEEE
Pages	69-72
Number of pages	4
ISBN (Print)	9781479983919
DOIs	https://doi.org/10.1109/ISCAS.2015.7168572
Publication status	Published - 2015
Event	IEEE International Symposium on Circuits and Systems - Duration: 24 May 2015 → …

Publication series

Name
ISSN (Print)	0271-4310

Conference

Conference	IEEE International Symposium on Circuits and Systems
Period	24/05/15 → …

Keywords

K-means clustering
algorithms
cluster analysis
independent component analysis

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10.1109/ISCAS.2015.7168572

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@inproceedings{4df71804e0494d128e097512612c8914,

title = "An accurate clustering algorithm for fast protein-profiling using SCICA on MALDI-TOF",

abstract = "![CDATA[In this paper we propose an accurate clustering algorithm as the necessary step of the Single Channel Independent Component Analysis (SCICA) in the context of the fast extraction of protein profiles from the mass spectra (MALDI-TOF) data. In general K-means clustering is employed for clustering of the basis vectors. However given its iterative and statistical nature, convergence to the same clusters for the same data sets is not always guaranteed making it inaccurate, especially in protein-profiling where reliability of the bio-marker based disease detection and diagnosis depend immensely on the reliability of the clustering algorithm. Furthermore the proposed algorithm does not involve any arithmetic computations helping expedite the entire SCICA process.]]",

keywords = "K-means clustering, algorithms, cluster analysis, independent component analysis",

author = "Amit Acharyya and Mavuduru Neehar and Naik, {Ganesh R.}",

year = "2015",

doi = "10.1109/ISCAS.2015.7168572",

language = "English",

isbn = "9781479983919",

publisher = "IEEE",

pages = "69--72",

booktitle = "Proceedings of the 2015 IEEE International Symposium on Circuits and Systems (ISCAS 2015), 24-27 May 2015, Lisbon, Portugal",

note = "IEEE International Symposium on Circuits and Systems ; Conference date: 24-05-2015",

}

Acharyya, A, Neehar, M & Naik, GR 2015, An accurate clustering algorithm for fast protein-profiling using SCICA on MALDI-TOF. in Proceedings of the 2015 IEEE International Symposium on Circuits and Systems (ISCAS 2015), 24-27 May 2015, Lisbon, Portugal. IEEE, pp. 69-72, IEEE International Symposium on Circuits and Systems, 24/05/15. https://doi.org/10.1109/ISCAS.2015.7168572

An accurate clustering algorithm for fast protein-profiling using SCICA on MALDI-TOF. / Acharyya, Amit; Neehar, Mavuduru; Naik, Ganesh R.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems (ISCAS 2015), 24-27 May 2015, Lisbon, Portugal. IEEE, 2015. p. 69-72.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - An accurate clustering algorithm for fast protein-profiling using SCICA on MALDI-TOF

AU - Acharyya, Amit

AU - Neehar, Mavuduru

AU - Naik, Ganesh R.

PY - 2015

Y1 - 2015

N2 - ![CDATA[In this paper we propose an accurate clustering algorithm as the necessary step of the Single Channel Independent Component Analysis (SCICA) in the context of the fast extraction of protein profiles from the mass spectra (MALDI-TOF) data. In general K-means clustering is employed for clustering of the basis vectors. However given its iterative and statistical nature, convergence to the same clusters for the same data sets is not always guaranteed making it inaccurate, especially in protein-profiling where reliability of the bio-marker based disease detection and diagnosis depend immensely on the reliability of the clustering algorithm. Furthermore the proposed algorithm does not involve any arithmetic computations helping expedite the entire SCICA process.]]

AB - ![CDATA[In this paper we propose an accurate clustering algorithm as the necessary step of the Single Channel Independent Component Analysis (SCICA) in the context of the fast extraction of protein profiles from the mass spectra (MALDI-TOF) data. In general K-means clustering is employed for clustering of the basis vectors. However given its iterative and statistical nature, convergence to the same clusters for the same data sets is not always guaranteed making it inaccurate, especially in protein-profiling where reliability of the bio-marker based disease detection and diagnosis depend immensely on the reliability of the clustering algorithm. Furthermore the proposed algorithm does not involve any arithmetic computations helping expedite the entire SCICA process.]]

KW - K-means clustering

KW - algorithms

KW - cluster analysis

KW - independent component analysis

UR - http://handle.westernsydney.edu.au:8081/1959.7/uws:42724

U2 - 10.1109/ISCAS.2015.7168572

DO - 10.1109/ISCAS.2015.7168572

M3 - Conference Paper

SN - 9781479983919

SP - 69

EP - 72

BT - Proceedings of the 2015 IEEE International Symposium on Circuits and Systems (ISCAS 2015), 24-27 May 2015, Lisbon, Portugal

PB - IEEE

T2 - IEEE International Symposium on Circuits and Systems

Y2 - 24 May 2015

ER -

An accurate clustering algorithm for fast protein-profiling using SCICA on MALDI-TOF

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Keywords

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