Data Analytics in Bioinformatics. Группа авторов

Чтение книги онлайн.

СКАЧАТЬ J.C., Gomez-Guerrero, S., García-Torres, M., Predictive Models for the Medical Diagnosis of Dengue: A Case Study in Paraguay, in: Computational and Mathematical Methods in Medicine, 2019.

      45. Subhadra, K. and Vikas, B., Neural network based intelligent system for predicting heart disease. Int. J. Innov. Technol. Exploring Eng. (IJITEE), 8, 5, 484–487, 2019.

      46. Dwivedi, A.K., Artificial neural network model for effective cancer classification using microarray gene expression data. Neural Comput. Appl., 29, 12, 1545–1554, 2018.

      47. Sethi, L., Jha, A.K., Chandrakar, H.K., A novel PSO-MLP framework for feature selection and classification of gene expression data. Yeast, 1484, 17, 2013.

      48. Padmavati, J., A comparative study on breast cancer prediction using RBF and MLP. Int. J. Sci. Eng. Res., 2, 1, 1–5, 2011.

      49. Pellakuri, V., Rajeswara Rao, D., Murthy, J.V.R., Modeling of supervised ADALINE neural network learning technique, in: 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I), IEEE, pp. 17–22, 2016.

      50. Sonawane, J.S. and Patil, D.R., Prediction of heart disease using multilayer perceptron neural network, in: International Conference on Information Communication and Embedded Systems (ICICES2014), IEEE, pp. 1–6, 2014.

      51. Öz, E. and Kaya, H., Support vector machines for quality control of DNA sequencing. J. Inequal. Appl., 1, 2013, 85, 2013.

      *Corresponding author: [email protected]

Part 2 MACHINE LEARNING AND GENOMIC TECHNOLOGY, FEATURE SELECTION AND DIMENSIONALITY REDUCTION

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