Otwarty dostęp

Inferring Genome-Wide Gene Regulatory Networks with GPU or CPU Parallel Algorithm


Zacytuj

[1] Carter, M.Q.: ‘Decoding the Ecological Function of Accessory Genome’, Trends Microbiol., 2017, 25, (1), pp. 6-8 Search in Google Scholar

[2] Fujii, C., Kuwahara, H., Yu, G., Guo, L.L., and Gao, X.: ‘Learning gene regulatory networks from gene expression data using weighted consensus’, Neurocomputing, 2017, 220, pp. 23-33 Search in Google Scholar

[3] Fan, Y., Wang, X., and Peng, Q.K.: ‘Inference of Gene Regulatory Networks Using Bayesian Nonparametric Regression and Topology Information’, Computational and Mathematical Methods in Medicine, 2017 Search in Google Scholar

[4] Chen, C., and Yan, X.F.: ‘Optimization of a Multilayer Neural Network by Using Minimal Redundancy Maximal Relevance-Partial Mutual Information Clustering With Least Square Regression’, IEEE Trans. Neural Netw. Learn. Syst., 2015, 26, (6), pp. 1177-1187 Search in Google Scholar

[5] Thorne, T.: ‘NetDiff - Bayesian model selection for differential gene regulatory network inference’, Scientific Reports, 2016, 6 Search in Google Scholar

[6] Kurt, Z., Aydin, N., and Altay, G.: ‘Comprehensive review of association estimators for the inference of gene networks’, Turkish Journal of Electrical Engineering and Computer Sciences, 2016, 24, (3), pp. 695-U1401 Search in Google Scholar

[7] Wei, R., and Murray, A.T.: ‘A parallel algorithm for coverage optimization on multi-core architectures’, Int. J. Geogr. Inf. Sci., 2016, 30, (3), pp. 432-450 Search in Google Scholar

[8] Zu-yun, F.: ‘Information theory: basic theory and application’ (2007, 2nd Edition edn. 2007) Search in Google Scholar

[9] Yan, X.Y., Zhang, S.W., and Zhang, S.Y.: ‘Prediction of drug-target interaction by label propagation with mutual interaction information derived from heterogeneous network’, Molecular Biosystems, 2016, 12, (2), pp. 520-531 Search in Google Scholar

[10] Barrett, T., Wilhite, S.E., Ledoux, P., Evangelista, C., Kim, I.F., Tomashevsky, M., Marshall, K.A., Phillippy, K.H., Sherman, P.M., Holko, M., Yefanov, A., Lee, H., Zhang, N.G., Robertson, C.L., Serova, N., Davis, S., and Soboleva, A.: ‘NCBI GEO: archive for functional genomics data sets-update’, Nucleic Acids Res., 2013, 41, (D1), pp. D991-D995 Search in Google Scholar

eISSN:
2470-8038
Język:
Angielski
Częstotliwość wydawania:
4 razy w roku
Dziedziny czasopisma:
Computer Sciences, other