Gene expression profiling of breast cancer survivability by pooled cDNA microarray analysis using logistic regression, artificial neural networks and decision trees

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題名:	Gene expression profiling of breast cancer survivability by pooled cDNA microarray analysis using logistic regression, artificial neural networks and decision trees
作者:	胡光宇 Hu, Kuang-Yu
貢獻者:	生物資訊學系 Bioinformatics
關鍵詞:	乳癌;微陣列晶片;類神經網路;邏輯斯迴歸;決策樹 Breast Cancer;Microarray;Artificial Neural Network;Logistic Regression;Decision Tree
日期:	2013
上傳時間:	2014-06-27 01:09:06 (UTC+8)
摘要:	BACKGROUND: Microarray technology can acquire information about thousands of genes simultaneously. We analyzed published breast cancer microarray databases to predict five-year recurrence and compared the performance of three data mining algorithms of art
顯示於類別:	[生物資訊學系] 期刊論文

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