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Titlebook: Bioinformatics and Biomedical Engineering; 9th International Wo Ignacio Rojas,Olga Valenzuela,Francisco Ortuño Conference proceedings 2022

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期刊全称Bioinformatics and Biomedical Engineering
期刊简称9th International Wo
影响因子2023Ignacio Rojas,Olga Valenzuela,Francisco Ortuño
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Bioinformatics and Biomedical Engineering; 9th International Wo Ignacio Rojas,Olga Valenzuela,Francisco Ortuño Conference proceedings 2022
影响因子.This volume constitutes the proceedings of the 9th International Work-Conference on IWBBIO 2020, held in Maspalomas, Gran Canaria, Spain, in June 2022. The total of  75 papers presented in the proceedings, was carefully reviewed and selected from 212 submissions. The papers cover the  latest ideas and realizations in the foundations, theory, models, and applications for interdisciplinary and multidisciplinary research encompassing disciplines of computer science, mathematics, statistics, biology, bioinformatics, and biomedicine. .
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书目名称Bioinformatics and Biomedical Engineering被引频次学科排名




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Grenzen der Kennzahlenanwendungrls) had overweight or obesity. RNAseq analysis was performed to identify gene expression patterns associated with obesity and overweight in each tissue. The software tools used in the RNAseq data analysis were FastQC, to perform sequencing quality checks; HISAT, to map reads to the human genome; fe
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https://doi.org/10.1007/978-3-658-40073-6of femoral neck (FN) strength (CSI, BSI, and ISI) were calculated. Validated tests were used to evaluate maximal bench-press strength, maximal half-squat strength, maximal deadlift strength, vertical jump, horizontal jump, sprinting performance and maximal aerobic velocity. Validated questionnaires
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https://doi.org/10.1007/978-3-658-40073-6 This study shows that the level of asymmetry in healthy corneas can be evaluated by direct or mirror symmetry, and that the presence of asymmetric anomalies can be useful as a clinical diagnostic tool.
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Vertriebswirtschaftliche Kennzahlen,etection techniques and Random Forest classification to extract lesion probability maps in new slices. The good agreement between our segmentation results and expert-based lesion delineation on 12 mouse brains highlights the potential of the proposed approach to automate stroke volumetry analysis, t
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