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Titlebook: Intelligent Computing in Bioinformatics; 10th International C De-Shuang Huang,Kyungsook Han,Michael Gromiha Conference proceedings 2014 Spr

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書目名稱Intelligent Computing in Bioinformatics
副標(biāo)題10th International C
編輯De-Shuang Huang,Kyungsook Han,Michael Gromiha
視頻videohttp://file.papertrans.cn/470/469524/469524.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Intelligent Computing in Bioinformatics; 10th International C De-Shuang Huang,Kyungsook Han,Michael Gromiha Conference proceedings 2014 Spr
描述This book – in conjunction with the volumes LNCS 8588 and LNAI 8589 – constitutes the refereed proceedings of the 10th International Conference on Intelligent Computing, ICIC 2014, held in Taiyuan, China, in August 2014. The 58 papers of this volume were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections such as machine learning; neural networks; image processing; computational systems biology and medical informatics; biomedical informatics theory and methods; advances on bio-inspired computing; protein and gene bioinformatics: analysis, algorithms, applications.
出版日期Conference proceedings 2014
關(guān)鍵詞bioinformatics; classification; computational proteomics; dynamic programming; machine learning; neural n
版次1
doihttps://doi.org/10.1007/978-3-319-09330-7
isbn_softcover978-3-319-09329-1
isbn_ebook978-3-319-09330-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

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Inference of Dynamic Gene Regulatory Relations with Multiple Regulatorsmplemented and tested on several gene expression datasets. The algorithms and program developed in our study will be useful for identifying multiple regulators, especially those that jointly regulate the expression level of a target gene.
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Analyzing Support Vector Machine Overfitting on Microarray Datation mechanism in the transcriptional profiling. We have found that SVM demonstrates its own special overfitting characteristics on array data, in addition to showing that feature selection algorithms may not contribute to overcoming overfitting, and discussing overfitting in biomarker discovery algorithm.
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