A direct proof of improved biased random walk with gastric cancer dataset

Choon Sen Seah; Shahreen Kasim; Mohd Farhan Md Fudzee; Mohd Saberi Mohamad; Rd Rohmat Saedudin; Deden Witarsyah; Rohayanti Hassan; Mohd Arfian Ismail; Rodziah Atan

doi:10.1109/ICAMCS46079.2018.000-2

A direct proof of improved biased random walk with gastric cancer dataset

Choon Sen Seah
, Shahreen Kasim
, Mohd Farhan Md Fudzee
, Mohd Saberi Mohamad
, Rd Rohmat Saedudin
, Deden Witarsyah
, Rohayanti Hassan
, Mohd Arfian Ismail
, Rodziah Atan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

The relationship between the weight of a single genes and the connection between the genes had been studied. Chemistry and physical sciences have proved the attraction between molecules. Molecules are attracted to each other by bond. This paper is presented to disclose the relationship between weight and connectivity of nodes with biased random walk. An equation of biased random walk which named as significant directed random walk is formed to enhance the connectivity of nodes in directed graph via weigh. To be completely biased to the random walk, references data is implement as directed graph. Weight of genes will be used as one of the parameter in the formula. While the adjacency matrix is further enhanced by Warshall's algorithm to increases the accessibility of nodes via vector. The evolution of random walk is disclosed in this paper as well. Significant directed random walk will be used to prove the importance of weight in this paper. Comparison of the result between biased random walk is presented to prove the enhancement of random walk.

Original language	English
Title of host publication	Proceedings - 2018 International Conference on Applied Mathematics and Computer Science, ICAMCS 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	28-34
Number of pages	7
ISBN (Electronic)	9781728132587
DOIs	https://doi.org/10.1109/ICAMCS46079.2018.000-2
Publication status	Published - Apr 2018
Externally published	Yes
Event	2018 International Conference on Applied Mathematics and Computer Science, ICAMCS 2018 - Paris, France Duration: Apr 13 2018 → Apr 15 2018

Publication series

Name	Proceedings - 2018 International Conference on Applied Mathematics and Computer Science, ICAMCS 2018

Conference

Conference	2018 International Conference on Applied Mathematics and Computer Science, ICAMCS 2018
Country/Territory	France
City	Paris
Period	4/13/18 → 4/15/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Biased random walk
Cancer classification
Gene expression dataset

ASJC Scopus subject areas

Computer Science Applications
Applied Mathematics
Computational Mathematics
Modelling and Simulation

Access to Document

10.1109/ICAMCS46079.2018.000-2

Cite this

Seah, C. S., Kasim, S., Fudzee, M. F. M., Mohamad, M. S., Saedudin, R. R., Witarsyah, D., Hassan, R., Ismail, M. A., & Atan, R. (2018). A direct proof of improved biased random walk with gastric cancer dataset. In Proceedings - 2018 International Conference on Applied Mathematics and Computer Science, ICAMCS 2018 (pp. 28-34). Article 8955314 (Proceedings - 2018 International Conference on Applied Mathematics and Computer Science, ICAMCS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAMCS46079.2018.000-2

A direct proof of improved biased random walk with gastric cancer dataset. / Seah, Choon Sen; Kasim, Shahreen; Fudzee, Mohd Farhan Md et al.
Proceedings - 2018 International Conference on Applied Mathematics and Computer Science, ICAMCS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 28-34 8955314 (Proceedings - 2018 International Conference on Applied Mathematics and Computer Science, ICAMCS 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Seah, CS, Kasim, S, Fudzee, MFM, Mohamad, MS, Saedudin, RR, Witarsyah, D, Hassan, R, Ismail, MA & Atan, R 2018, A direct proof of improved biased random walk with gastric cancer dataset. in Proceedings - 2018 International Conference on Applied Mathematics and Computer Science, ICAMCS 2018., 8955314, Proceedings - 2018 International Conference on Applied Mathematics and Computer Science, ICAMCS 2018, Institute of Electrical and Electronics Engineers Inc., pp. 28-34, 2018 International Conference on Applied Mathematics and Computer Science, ICAMCS 2018, Paris, France, 4/13/18. https://doi.org/10.1109/ICAMCS46079.2018.000-2

Seah CS, Kasim S, Fudzee MFM, Mohamad MS, Saedudin RR, Witarsyah D et al. A direct proof of improved biased random walk with gastric cancer dataset. In Proceedings - 2018 International Conference on Applied Mathematics and Computer Science, ICAMCS 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 28-34. 8955314. (Proceedings - 2018 International Conference on Applied Mathematics and Computer Science, ICAMCS 2018). doi: 10.1109/ICAMCS46079.2018.000-2

Seah, Choon Sen ; Kasim, Shahreen ; Fudzee, Mohd Farhan Md et al. / A direct proof of improved biased random walk with gastric cancer dataset. Proceedings - 2018 International Conference on Applied Mathematics and Computer Science, ICAMCS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 28-34 (Proceedings - 2018 International Conference on Applied Mathematics and Computer Science, ICAMCS 2018).

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abstract = "The relationship between the weight of a single genes and the connection between the genes had been studied. Chemistry and physical sciences have proved the attraction between molecules. Molecules are attracted to each other by bond. This paper is presented to disclose the relationship between weight and connectivity of nodes with biased random walk. An equation of biased random walk which named as significant directed random walk is formed to enhance the connectivity of nodes in directed graph via weigh. To be completely biased to the random walk, references data is implement as directed graph. Weight of genes will be used as one of the parameter in the formula. While the adjacency matrix is further enhanced by Warshall's algorithm to increases the accessibility of nodes via vector. The evolution of random walk is disclosed in this paper as well. Significant directed random walk will be used to prove the importance of weight in this paper. Comparison of the result between biased random walk is presented to prove the enhancement of random walk.",

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AU - Saedudin, Rd Rohmat

AU - Witarsyah, Deden

AU - Hassan, Rohayanti

AU - Ismail, Mohd Arfian

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AB - The relationship between the weight of a single genes and the connection between the genes had been studied. Chemistry and physical sciences have proved the attraction between molecules. Molecules are attracted to each other by bond. This paper is presented to disclose the relationship between weight and connectivity of nodes with biased random walk. An equation of biased random walk which named as significant directed random walk is formed to enhance the connectivity of nodes in directed graph via weigh. To be completely biased to the random walk, references data is implement as directed graph. Weight of genes will be used as one of the parameter in the formula. While the adjacency matrix is further enhanced by Warshall's algorithm to increases the accessibility of nodes via vector. The evolution of random walk is disclosed in this paper as well. Significant directed random walk will be used to prove the importance of weight in this paper. Comparison of the result between biased random walk is presented to prove the enhancement of random walk.

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KW - Gene expression dataset

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A direct proof of improved biased random walk with gastric cancer dataset

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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