Multiclass Microarray Data Classification Using GA/ANN Method

Lin, Tsun-Chen; Liu, Ru-Sheng; Chao, Ya-Ting; Chen, Shuyuan

doi:10.1007/11801603_129

Cited by 1 publication

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“…Metode yang diusulkan pada penelitian ini mampu mengurangi dimensi fitur dengan mengidentifikasi subset gen yang paling informatif serta memperbaiki akurasi klasifikasi. Tsun-Chen Lin, Ru-Sheng Liu, Ya-Ting Chao, and Shu-Yuan Chen [20] tujuan dari penelitian yang dilakukan adalah untuk mengeksplorasi penggunaan data ekspresi gen dalam membedakan jenis kanker heterogen. Mereka menggunakan hybrid learning methodology algoritma genetika (GA) dan jaringan syaraf tiruan (JST) untuk menemukan subkumpulan gen yang optimal untuk klasi_kasi jaringan / kanker.…”

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Deteksi Kanker Berdasarkan Klasifikasi Microarray Data

Adiwijaya

2018

mib

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Cancer is one of the diseases that can cause human death in the world and become the biggest cause of death after heart disease. Therefore we need a DNA microarray technology which is used to examine how gene expression patterns change under different conditions, so that the technology is able to detect a person with cancer or not with accurate analysis. The size of the dimension in the microarray data can affect the gene expression analysis that is used to find informative genes, for that we need a good method of dimension reduction and classification so that it can get the best results and accuracy. Many techniques can be applied in DNA microarray, one of them is BPNN Back Propagation Neural Network as a classification and PCA as dimension reduction, where both have been tested in several previous studies. By applying BPNN and PCA on several types of cancer data, it was found that BPNN and PCA get more than 80% accuracy results with training time 0-4 seconds.

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Section: Teoritisunclassified

Deteksi Kanker Berdasarkan Klasifikasi Microarray Data

Adiwijaya

2018

mib

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Multiclass Microarray Data Classification Using GA/ANN Method

Cited by 1 publication

References 0 publications

Deteksi Kanker Berdasarkan Klasifikasi Microarray Data

Deteksi Kanker Berdasarkan Klasifikasi Microarray Data

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