scholarly journals DNA Motif Finding Method Without Protection Can Leak User Privacy

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 152076-152087
Author(s):  
Xiang Wu ◽  
Huanhuan Wang ◽  
Minyu Shi ◽  
Aming Wang ◽  
Kaijian Xia
Keyword(s):  
Motif Finding ◽  
User Privacy ◽  
Dna Motif ◽  
Finding Method

A differential privacy DNA motif finding method based on closed frequent patterns

2018 ◽  
Vol 22 (S2) ◽  
pp. 2907-2919
Author(s):  
Xiang Wu ◽  
Yuyang Wei ◽  
Yaqing Mao ◽  
Liang Wang
Keyword(s):  
Differential Privacy ◽  
Motif Finding ◽  
Frequent Patterns ◽  
Dna Motif ◽  
Finding Method

A developed system based on nature-inspired algorithms for DNA motif finding process

2018 ◽  
Vol 30 (7) ◽  
pp. 2059-2069
Author(s):  
Mai S. Mabrouk ◽  
Mohamed B. Abdelhalim ◽  
Ebtehal S. Elewa
Keyword(s):  
Motif Finding ◽  
Dna Motif ◽  
Nature Inspired Algorithms

EMPLOYING FUZZY C-MEANS FOR DNA TRANSCRIPTION FACTOR BINDING SITE IDENTIFICATION

2010 ◽  
Vol 19 (01) ◽  
pp. 15-30 ◽  
Author(s):  
TURGAY İBRİKCİ ◽  
MUSTAFA KARABULUT
Keyword(s):  
Machine Learning ◽  
Dna Sequences ◽  
Motif Discovery ◽  
Clustering Algorithm ◽  
Motif Finding ◽  
Synthesis Process ◽  
Learning Approach ◽  
Fuzzy C Means ◽  
Dna Motif ◽  
Machine Learning Approach

DNA motif discovery is an important task since it helps to better understand the regulation of the transcription in the protein synthesis process. This paper introduces a novel method for the task of DNA motif finding where the proposed method adopts machine-learning approach by the use of a well-known clustering algorithm, Fuzzy C-Means. The method is explained in detail and tested against DNA sequences extracted from the genome of Saccharomyces cerevisiae and Escherichia coli organisms. Experimental results suggest that the algorithm is efficient in finding statistically interesting features existing in the DNA sequences. The comparison of the algorithm with the well-known motif finding tools, MEME and MDScan, which are built on statistical and word-enumerative models, shows the advantages of the proposed method over the existing tools and the promising direction of the machine-learning approach.

scholarly journals A survey of DNA motif finding algorithms

2007 ◽  
Vol 8 (S7) ◽  
Author(s):  
Modan K Das ◽  
Ho-Kwok Dai
Keyword(s):  
Motif Finding ◽  
Dna Motif

scholarly journals A private DNA motif finding algorithm

2014 ◽  
Vol 50 ◽  
pp. 122-132 ◽  
Author(s):  
Rui Chen ◽  
Yun Peng ◽  
Byron Choi ◽  
Jianliang Xu ◽  
Haibo Hu
Keyword(s):  
Motif Finding ◽  
Dna Motif ◽  
Motif Finding Algorithm
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