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@article{ART002042570},
author={Yoon, Hee Jin},
title={Time Series Expression E.coli Prediction for Gene Regulatory Network Reconstruction},
journal={Journal of Knowledge Information Technology and Systems},
issn={1975-7700},
year={2015},
volume={10},
number={5},
pages={547-553}

TY - JOUR
AU - Yoon, Hee Jin
TI - Time Series Expression E.coli Prediction for Gene Regulatory Network Reconstruction
JO - Journal of Knowledge Information Technology and Systems
PY - 2015
VL - 10
IS - 5
PB - Korea Knowledge Information Technology Society
SP - 547
EP - 553
SN - 1975-7700
AB - Presenting the relationship of gene and gene is Gene Regulatory Networks(GRN). In the relationship of gene and gene, one of the target gene is affected by regulate genes. Gene regulatory network is divided into two ways by regulate gene activate expression of target gene and repress it. This paper predicted time series expression E.coli data to reconstruction Gene Regulatory Networks. E.coli used in test data is composed of eight genes and has 50 time point. To predict a one target gene, the rest is used for regulator genes. To predict E.coli data, it used Neural Network with Weighted Fuzzy Membership Function(NEWFM). E.coli Data which has time series is used Wavelet for feature extraction. Feature is used for prediction of a Gene Regulatory Networks. By the NEWFM, features were trained and selected minimum feature by Weighted Fuzzy Membership Function Bounded Sum. Data value of selected features is defuzzificated by Takagi-Sugeno value, and by using previous time expression value of regulator genes predicted current time expression value of target gene. Predicted value indicated mean square error(MSE). As comparing, it shows that predicted result is improved by each MSE result; NFRN algorithm is 0.12%, EK algorithm is 0.12%, and NEWFM is 0.003%.
KW - Fuzzy neural networks;Microarray data;Gene regulatory networks;Wavelet Transcriptions;Time series data
DO -
UR -
ER -

Yoon, Hee Jin. (2015). Time Series Expression E.coli Prediction for Gene Regulatory Network Reconstruction. Journal of Knowledge Information Technology and Systems, 10(5), 547-553.

Yoon, Hee Jin. 2015, "Time Series Expression E.coli Prediction for Gene Regulatory Network Reconstruction", Journal of Knowledge Information Technology and Systems, vol.10, no.5 pp.547-553.

Yoon, Hee Jin "Time Series Expression E.coli Prediction for Gene Regulatory Network Reconstruction" Journal of Knowledge Information Technology and Systems 10.5 pp.547-553 (2015) : 547.

Yoon, Hee Jin. Time Series Expression E.coli Prediction for Gene Regulatory Network Reconstruction. 2015; 10(5), 547-553.

Yoon, Hee Jin. "Time Series Expression E.coli Prediction for Gene Regulatory Network Reconstruction" Journal of Knowledge Information Technology and Systems 10, no.5 (2015) : 547-553.

Yoon, Hee Jin. Time Series Expression E.coli Prediction for Gene Regulatory Network Reconstruction. Journal of Knowledge Information Technology and Systems, 10(5), 547-553.

Yoon, Hee Jin. Time Series Expression E.coli Prediction for Gene Regulatory Network Reconstruction. Journal of Knowledge Information Technology and Systems. 2015; 10(5) 547-553.

Yoon, Hee Jin. Time Series Expression E.coli Prediction for Gene Regulatory Network Reconstruction. 2015; 10(5), 547-553.

Yoon, Hee Jin. "Time Series Expression E.coli Prediction for Gene Regulatory Network Reconstruction" Journal of Knowledge Information Technology and Systems 10, no.5 (2015) : 547-553.