Bioinformatics and Biomedical Engineering: 6th International Work-Conference, IWBBIO 2018, Granada, Spain, April 25–27, 2018, Proceedings, Part I (Lecture Notes in Computer Science)
暫譯: 生物資訊學與生醫工程:第六屆國際工作會議 IWBBIO 2018,西班牙格拉納達,2018年4月25日至27日,會議論文集,第一部分(計算機科學講義筆記)

  • 出版商: Springer
  • 出版日期: 2018-03-28
  • 售價: $2,420
  • 貴賓價: 9.5$2,299
  • 語言: 英文
  • 頁數: 556
  • 裝訂: Paperback
  • ISBN: 3319787225
  • ISBN-13: 9783319787220
  • 相關分類: 生物資訊 BioinformaticsComputer-Science
  • 海外代購書籍(需單獨結帳)

商品描述

This two-volume set LNBI 10813 and LNBI 10814 constitutes the proceedings of the 6th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2018, held in Granada, Spain, in April 2018.
The 88 regular papers presented were carefully reviewed and selected from 273 submissions. The scope of the conference spans the following areas: bioinformatics for healthcare and diseases; bioinformatics tools to integrate omics dataset and address biological question; challenges and advances in measurement and self-parametrization of complex biological systems; computational genomics; computational proteomics; computational systems for modelling biological processes; drug delivery system design aided by mathematical modelling and experiments; generation, management and biological insights from big data; high-throughput bioinformatic tools for medical genomics; next generation sequencing and sequence analysis; interpretable models in biomedicine and bioinformatics; little-big data. Reducing the complexity and facing uncertainty of highly underdetermined phenotype prediction problems; biomedical engineering; biomedical image analysis; biomedical signal analysis; challenges in smart and wearable sensor design for mobile health; and healthcare and diseases.

商品描述(中文翻譯)

這兩卷的套書 LNBI 10813 和 LNBI 10814 是第六屆國際生物資訊與生物醫學工程工作會議(IWBBIO 2018)的會議論文集,該會議於2018年4月在西班牙格拉納達舉行。

所呈現的88篇常規論文是從273篇投稿中仔細審核和選出的。會議的範圍涵蓋以下領域:針對健康照護和疾病的生物資訊;整合組學數據集並解決生物學問題的生物資訊工具;複雜生物系統的測量和自我參數化的挑戰與進展;計算基因組學;計算蛋白質組學;用於建模生物過程的計算系統;數學建模和實驗輔助的藥物傳遞系統設計;從大數據中生成、管理和獲取生物學見解;用於醫學基因組學的高通量生物資訊工具;下一代測序和序列分析;生物醫學和生物資訊中的可解釋模型;小大數據;降低高度欠確定的表型預測問題的複雜性和面對不確定性;生物醫學工程;生物醫學影像分析;生物醫學信號分析;移動健康智能和可穿戴傳感器設計中的挑戰;以及健康照護和疾病。

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