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Titlebook: Computational Intelligence Methods for Bioinformatics and Biostatistics; 10th International M Enrico Formenti,Roberto Tagliaferri,Ernst Wit

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發(fā)表于 2025-3-23 11:19:12 | 只看該作者
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發(fā)表于 2025-3-23 17:37:16 | 只看該作者
Stockholding in the United Kingdomcularly breast cancer, has made it possible the observation of complex shapes of the hazard function of occurrence of metastasis and death. The identification of the correct hazard shape is important both for formulation and support of biological hypotheses on the mechanism underlying the disease..I
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發(fā)表于 2025-3-24 01:16:33 | 只看該作者
https://doi.org/10.1007/978-90-368-2797-3interesting problem. Nowadays literature concerning scan statistics is quite broad and methods can be subdivided based on dimensional complexity of the study area, assumption on distribution generating the data under the null hypothesis and shape-dimension of the scanning window. The aim of this stu
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發(fā)表于 2025-3-24 05:27:25 | 只看該作者
https://doi.org/10.1007/978-3-540-45390-1tial Equations Systems (RODES) methodology which was developed before and which is enhanced herein and consists of four steps: (1) smooth and fit the miRNA experimental data which is enhanced in this paper with other types of statistical analyses such as gene differential expression analyses, (2) de
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發(fā)表于 2025-3-24 07:18:41 | 只看該作者
https://doi.org/10.1007/978-3-540-45390-1 proved to be relevant in making predictions about cancer disease outcome. The most accurate predictive models can be obtained by using clinico-pathological information together with genomic information. We analyzed the performance of various combinations between twenty classification algorithms and
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/232390.jpg
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發(fā)表于 2025-3-24 23:36:55 | 只看該作者
Conference proceedings 2014 Bioinformatics and Biostatistics, CIBB 2013, held in Nice, France in June 2013..The 19 revised full papers presented were carefully reviewed and.selected from 35 submissions. The papers are organized in topical.sections on bioinformatics, biostatistics, knowledge based medicine, and data integration and analysis in omic-science..
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