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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Aiguo Wang Ning An Guilin Chen Lian Li Alterovitz, G. |
| Copyright Year | 2014 |
| Description | Author affiliation: Gerontechnology Lab., Hefei Univ. of Technol., Hefei, China (Aiguo Wang; Ning An; Lian Li) || Med. Sch., Center for Biomed. Inf., Harvard Univ., Boston, MA, USA (Alterovitz, G.) || Sch. of Comput. & Inf. Eng., Chuzhou Univ., Chuzhou, China (Guilin Chen) |
| Abstract | Wrapper based gene selection methods tend to obtain better classification accuracy than filter methods, while it is much more time consuming. Accelerating this process without degrading the high accuracy is of great value for researchers to better analyze gene expression profiles. In this paper, we explore to reduce the time complexity of wrapper based gene selection method with K-Nearest-Neighbor (KNN) classifier embedded. Instead of taking KNN as a black box, we incrementally construct and maintain a classifier distance matrix to speed up the gene selection process. Experiments on six publicly available microarrays were first conducted to show the effectiveness of incremental wrapper based gene selection method with KNN. Then, to demonstrate the performance gain in time cost reduction, we analyzed the time complexity and experimentally evaluated it. Both theoretical analysis and experimental results prove that the proposed approach greatly accelerates the gene selection process without degrading the classification accuracy. |
| Starting Page | 21 |
| Ending Page | 23 |
| File Size | 228547 |
| Page Count | 3 |
| File Format | |
| ISBN | 9781479956692 |
| DOI | 10.1109/BIBM.2014.6999395 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-11-02 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Training filter Accuracy gene selection k-nearest-neighbor microarray data Filtering algorithms Performance gain Educational institutions wrapper Acceleration Time complexity |
| Content Type | Text |
| Resource Type | Article |
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