An accurate and robust missing value estimation for Microarray data: Least absolute deviation imputation
10.1109/ICMLA.2006.11
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sg-nus-scholar.10635-722782015-04-15T01:48:59Z An accurate and robust missing value estimation for Microarray data: Least absolute deviation imputation Yi, C. Kim, L.P. INDUSTRIAL & SYSTEMS ENGINEERING 10.1109/ICMLA.2006.11 Proceedings - 5th International Conference on Machine Learning and Applications, ICMLA 2006 157-161 2014-06-19T04:53:07Z 2014-06-19T04:53:07Z 2006 Conference Paper Yi, C.,Kim, L.P. (2006). An accurate and robust missing value estimation for Microarray data: Least absolute deviation imputation. Proceedings - 5th International Conference on Machine Learning and Applications, ICMLA 2006 : 157-161. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/ICMLA.2006.11" target="_blank">https://doi.org/10.1109/ICMLA.2006.11</a> 0769527353 http://scholarbank.nus.edu.sg/handle/10635/72278 NOT_IN_WOS Scopus |
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10.1109/ICMLA.2006.11 |
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INDUSTRIAL & SYSTEMS ENGINEERING |
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INDUSTRIAL & SYSTEMS ENGINEERING Yi, C. Kim, L.P. |
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Yi, C. Kim, L.P. |
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Yi, C. Kim, L.P. An accurate and robust missing value estimation for Microarray data: Least absolute deviation imputation |
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Yi, C. |
title |
An accurate and robust missing value estimation for Microarray data: Least absolute deviation imputation |
title_short |
An accurate and robust missing value estimation for Microarray data: Least absolute deviation imputation |
title_full |
An accurate and robust missing value estimation for Microarray data: Least absolute deviation imputation |
title_fullStr |
An accurate and robust missing value estimation for Microarray data: Least absolute deviation imputation |
title_full_unstemmed |
An accurate and robust missing value estimation for Microarray data: Least absolute deviation imputation |
title_sort |
accurate and robust missing value estimation for microarray data: least absolute deviation imputation |
publishDate |
2014 |
url |
http://scholarbank.nus.edu.sg/handle/10635/72278 |
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1681087536773988352 |