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Titlebook: Computational Intelligence Methods for Bioinformatics and Biostatistics; 5th International Me Francesco Masulli,Roberto Tagliaferri,Gennady

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發(fā)表于 2025-3-21 18:46:29 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Computational Intelligence Methods for Bioinformatics and Biostatistics
副標題5th International Me
編輯Francesco Masulli,Roberto Tagliaferri,Gennady M. V
視頻videohttp://file.papertrans.cn/233/232383/232383.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computational Intelligence Methods for Bioinformatics and Biostatistics; 5th International Me Francesco Masulli,Roberto Tagliaferri,Gennady
描述This book constitutes the thoroughly refereed post-conference proceedings of the Fifth International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2008, held in Vietri sul Mare, Italy, in October 2008. The 23 revised full papers presented together with 3 invited lectures were carefully reviewed and selected from 69 submissions. The main goal of the CIBB meetings is to provide a forum open to researchers from different disciplines to present and discuss problems concerning computational techniques in bioinformatics, systems biology and medical informatics with a particular focus on neural networks, machine learning, fuzzy logic, and evolutionary computation methods.
出版日期Conference proceedings 2009
關鍵詞bioinformatics; biology; computational intelligence; evolution; evolutionary computation; fuzzy logic; lea
版次1
doihttps://doi.org/10.1007/978-3-642-02504-4
isbn_softcover978-3-642-02503-7
isbn_ebook978-3-642-02504-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2009
The information of publication is updating

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3D Volume Reconstruction and Biometric Analysis of Fetal Brain from MR Images that greatly decreases the accuracy and significance of the result. To solve these problems in this paper we propose an algorithm that builds a 3D representation of the fetal brain; from this representation the desired section of the cerebral structures can be extracted. Next, we describe our preli
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,über Zufall und Wahrscheinlichkeit,energy complexes formed with the folded and partially unfolded HIV–1 PR monomers, the NIIGRNLLTQI peptide may effectively intervene with the HIV–1 PR folding and dimerization. The performed microscopic analysis reconciles the experimental and computational results and rationalizes the molecular basi
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Modellieren mit der Normalverteilung,e data. Statistical approaches based on the chi-square distribution and on the Bernstein inequality, show that stability-based methods can be successfully applied to the statistical assessment of the reliability of clusters, and to discover multiple structures underlying complex bio-molecular data.
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,Endliche Wahrscheinlichkeitsr?ume,ecorded in the microarray experiment. Vegf-related genes seem not to be involved at transcriptomics level, suggesting alternative regulative pathways do exist to modulate transcriptomal signatures in developing zebrafish. Our results show that there are several glycan-related genes which may be invo
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