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

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 weigh...

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Main Authors: Seah, Choon Sen, Kasim, Shahreen, Md Fudzee, Mohd Farhan, Mohamad, Mohd Saberi, Saedudin, Rd Rohmat, Witarsyah, Deden, Hassan, Rohayanti, Ismail, Mohd Arfian, Atan, Rodziah
Format: Conference or Workshop Item
Language:English
Published: IEEE 2018
Online Access:http://psasir.upm.edu.my/id/eprint/36380/
http://psasir.upm.edu.my/id/eprint/36380/1/A%20direct%20proof%20of%20improved%20biased%20random%20walk%20with%20gastric%20cancer%20dataset.pdf
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author Seah, Choon Sen
Kasim, Shahreen
Md Fudzee, Mohd Farhan
Mohamad, Mohd Saberi
Saedudin, Rd Rohmat
Witarsyah, Deden
Hassan, Rohayanti
Ismail, Mohd Arfian
Atan, Rodziah
author_facet Seah, Choon Sen
Kasim, Shahreen
Md Fudzee, Mohd Farhan
Mohamad, Mohd Saberi
Saedudin, Rd Rohmat
Witarsyah, Deden
Hassan, Rohayanti
Ismail, Mohd Arfian
Atan, Rodziah
author_sort Seah, Choon Sen
building UPM Institutional Repository
collection Online Access
description 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.
first_indexed 2025-11-15T09:32:33Z
format Conference or Workshop Item
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institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T09:32:33Z
publishDate 2018
publisher IEEE
recordtype eprints
repository_type Digital Repository
spelling upm-363802020-06-15T07:48:12Z http://psasir.upm.edu.my/id/eprint/36380/ A direct proof of improved biased random walk with gastric cancer dataset Seah, Choon Sen Kasim, Shahreen Md Fudzee, Mohd Farhan Mohamad, Mohd Saberi Saedudin, Rd Rohmat Witarsyah, Deden Hassan, Rohayanti Ismail, Mohd Arfian Atan, Rodziah 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. IEEE 2018 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/36380/1/A%20direct%20proof%20of%20improved%20biased%20random%20walk%20with%20gastric%20cancer%20dataset.pdf Seah, Choon Sen and Kasim, Shahreen and Md Fudzee, Mohd Farhan and Mohamad, Mohd Saberi and Saedudin, Rd Rohmat and Witarsyah, Deden and Hassan, Rohayanti and Ismail, Mohd Arfian and Atan, Rodziah (2018) A direct proof of improved biased random walk with gastric cancer dataset. In: 2018 International Conference on Applied Mathematics & Computer Science (ICAMCS 2018), 13-15 Apr. 2018, Paris, France. (pp. 28-34). 10.1109/ICAMCS46079.2018.000-2
spellingShingle Seah, Choon Sen
Kasim, Shahreen
Md Fudzee, Mohd Farhan
Mohamad, Mohd Saberi
Saedudin, Rd Rohmat
Witarsyah, Deden
Hassan, Rohayanti
Ismail, Mohd Arfian
Atan, Rodziah
A direct proof of improved biased random walk with gastric cancer dataset
title A direct proof of improved biased random walk with gastric cancer dataset
title_full A direct proof of improved biased random walk with gastric cancer dataset
title_fullStr A direct proof of improved biased random walk with gastric cancer dataset
title_full_unstemmed A direct proof of improved biased random walk with gastric cancer dataset
title_short A direct proof of improved biased random walk with gastric cancer dataset
title_sort direct proof of improved biased random walk with gastric cancer dataset
url http://psasir.upm.edu.my/id/eprint/36380/
http://psasir.upm.edu.my/id/eprint/36380/
http://psasir.upm.edu.my/id/eprint/36380/1/A%20direct%20proof%20of%20improved%20biased%20random%20walk%20with%20gastric%20cancer%20dataset.pdf