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Titlebook: 5th International Conference on Practical Applications of Computational Biology & Bioinformatics; Miguel P. Rocha,Juan M. Corchado Rodrígu

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樓主: PEL
31#
發(fā)表于 2025-3-26 20:56:45 | 只看該作者
Colin J. Theaker,Graham R. Brookestions that occur in any member of the patient’s family. Besides the graphical display of the patients’ family tree, the system also allows to differentiate between different groups of cancer by using symbols and colours, register new cancer occurrences within that family network, as well as information related to tests performed by them.
32#
發(fā)表于 2025-3-27 02:54:37 | 只看該作者
Colin J. Theaker,Graham R. Brookesdetection and classification according to the hierarchies demarked in the MEROPS database. Feature selection with SVM-RFE is used to improve the discriminative models and build classifiers computationally more efficient.
33#
發(fā)表于 2025-3-27 06:27:59 | 只看該作者
34#
發(fā)表于 2025-3-27 10:26:15 | 只看該作者
Advances in Intelligent and Soft Computinghttp://image.papertrans.cn/012/image/101029.jpg
35#
發(fā)表于 2025-3-27 13:42:31 | 只看該作者
36#
發(fā)表于 2025-3-27 21:51:20 | 只看該作者
37#
發(fā)表于 2025-3-28 00:25:25 | 只看該作者
38#
發(fā)表于 2025-3-28 03:36:06 | 只看該作者
Energy Storage and Photovoltaic Systems, obtained by employing different AI approaches, provided useful orientation for nutrient feed strategies for increased productivity. In conclusion, we believe .. tools can perform a rapid and valid optimization of bioprocesses avoiding expensive experiments.
39#
發(fā)表于 2025-3-28 08:06:25 | 只看該作者
F. Z. Bedia,A. Bedia,N. Maloufi,M. Ailleriede scale. The GATK framework is a new Java framework for fast-developing NGS applications including capabilities for automatic shared-memory parallelization. This work presents the design and initial performance results of a methylation caller for next-generation bisultife sequencing based on the GATK framework.
40#
發(fā)表于 2025-3-28 13:47:21 | 只看該作者
Ronald J. Bonnstetter,David Gosselin aiding the development of proteomics applications working with mass spectrometry data. We present two case studies: Decision Peptide-Driven for accurate protein quantification and Bacterial Identification for Tuberculosis biomarker search and diagnosis.
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