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This page (revision-8) was last changed on 07-May-2015 17:16 by YongWang

This page was created on 06-May-2015 15:36 by YongWang

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At line 5 removed 5 lines
!!!References
* Meng Zou, Peng-Jun Zhang#, Xin-Yu Wen, Luonan Chen*, Ya-Ping Tian * and Yong Wang, A novel mixed integer programming for multi-biomarker panel identification by distinguishing malignant from benign colorectal tumors. Methods, In submission.
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We developed a novel mixed integer programming model for multi-biomarker panel detection. This model to directly minimize the classification error (maximize the classification accuracy) given the number of biomarkers in the optimal multi-biomarker panel. This mixed integer programming model allows us to go through all the optimal combinations by varying parameter from 1 to . Moreover, we can check their accuracy and compare the selected combinations. In particular, an optimal multi-biomarker panel can be selected by balancing the parameter k and the classification accuracy.
We developed a novel mixed integer programming model for multi-biomarker panel detection. This model directly minimizes the classification error (maximizes the classification accuracy) given the number of biomarkers in the optimal multi-biomarker panel. This mixed integer programming model allows us to go through all the optimal combinations by varying parameter from 1 to n. Moreover, we can check their accuracy and compare the selected combinations. In particular, an optimal multi-biomarker panel can be selected by balancing the parameter k and the classification accuracy.
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* [MILP_k.rar|MILP_k.rar]
* [source.rar|source.rar]
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The dataset used in our paper have been taken as an example for the implementation for MILP_k. The raw data (.xlsx) and pro-processed data (.mat) are contained in the supplementary files.
The dataset used in our paper serves as an example to demonstrate the implementation for MILP_k. The raw data(.xlsx) and processed data(.mat) are available as follows.
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!!!References
* Meng Zou, Peng-Jun Zhang, Xin-Yu Wen, Luonan Chen, Ya-Ping Tian, and Yong Wang, A novel mixed integer programming for multi-biomarker panel identification by distinguishing malignant from benign colorectal tumors. Methods, In submission.
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