A Microorganism Transcriptional Regulation Algorithm Based on Generalized Regression Neural Network
Considering the importance of operon in microorganism transcriptional regulation, this paper sets up a new operon prediction model based on artificial neural network (ANN). Specifically, multiple genome information, ranging from intergenic distance (IGD), orthologous protein cluster (OPC), conserved...
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| Format: | Article |
| Language: | English |
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Bulgarian Academy of Sciences
2019-06-01
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| Series: | International Journal Bioautomation |
| Subjects: | |
| Online Access: | http://www.biomed.bas.bg/bioautomation/2019/vol_23.2/files/23.2_03.pdf |
| _version_ | 1818483440711892992 |
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| author | Hui Li |
| author_facet | Hui Li |
| author_sort | Hui Li |
| collection | DOAJ |
| description | Considering the importance of operon in microorganism transcriptional regulation, this paper sets up a new operon prediction model based on artificial neural network (ANN). Specifically, multiple genome information, ranging from intergenic distance (IGD), orthologous protein cluster (OPC), conserved gene pair (CGP) to system evolution spectrum (SES), were preprocessed by log-likelihood fraction and wavelet transform, and then inputted to the GRNN for operon prediction. The experimental results in E. coli K-12 and B. subtilis 168 show that our model is a valid and feasible way to predict operon. The research findings shed new light on the prediction of operon information of new species. |
| first_indexed | 2024-12-10T15:42:02Z |
| format | Article |
| id | doaj.art-5ce35a3919e64557a8c3f3f2648f21ea |
| institution | Directory Open Access Journal |
| issn | 1314-1902 1314-2321 |
| language | English |
| last_indexed | 2024-12-10T15:42:02Z |
| publishDate | 2019-06-01 |
| publisher | Bulgarian Academy of Sciences |
| record_format | Article |
| series | International Journal Bioautomation |
| spelling | doaj.art-5ce35a3919e64557a8c3f3f2648f21ea2022-12-22T01:43:05ZengBulgarian Academy of SciencesInternational Journal Bioautomation1314-19021314-23212019-06-0123215316210.7546/ijba.2019.23.2.000676A Microorganism Transcriptional Regulation Algorithm Based on Generalized Regression Neural NetworkHui Li0Software Engineering College, Zhengzhou University of Light Industry, Zhengzhou 450002, ChinaConsidering the importance of operon in microorganism transcriptional regulation, this paper sets up a new operon prediction model based on artificial neural network (ANN). Specifically, multiple genome information, ranging from intergenic distance (IGD), orthologous protein cluster (OPC), conserved gene pair (CGP) to system evolution spectrum (SES), were preprocessed by log-likelihood fraction and wavelet transform, and then inputted to the GRNN for operon prediction. The experimental results in E. coli K-12 and B. subtilis 168 show that our model is a valid and feasible way to predict operon. The research findings shed new light on the prediction of operon information of new species.http://www.biomed.bas.bg/bioautomation/2019/vol_23.2/files/23.2_03.pdfMicroorganism transcriptional regulationOperon predictionGeneralized regression neural network |
| spellingShingle | Hui Li A Microorganism Transcriptional Regulation Algorithm Based on Generalized Regression Neural Network International Journal Bioautomation Microorganism transcriptional regulation Operon prediction Generalized regression neural network |
| title | A Microorganism Transcriptional Regulation Algorithm Based on Generalized Regression Neural Network |
| title_full | A Microorganism Transcriptional Regulation Algorithm Based on Generalized Regression Neural Network |
| title_fullStr | A Microorganism Transcriptional Regulation Algorithm Based on Generalized Regression Neural Network |
| title_full_unstemmed | A Microorganism Transcriptional Regulation Algorithm Based on Generalized Regression Neural Network |
| title_short | A Microorganism Transcriptional Regulation Algorithm Based on Generalized Regression Neural Network |
| title_sort | microorganism transcriptional regulation algorithm based on generalized regression neural network |
| topic | Microorganism transcriptional regulation Operon prediction Generalized regression neural network |
| url | http://www.biomed.bas.bg/bioautomation/2019/vol_23.2/files/23.2_03.pdf |
| work_keys_str_mv | AT huili amicroorganismtranscriptionalregulationalgorithmbasedongeneralizedregressionneuralnetwork AT huili microorganismtranscriptionalregulationalgorithmbasedongeneralizedregressionneuralnetwork |