Biological and Medical Big Data Mining

G. Tzanis
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引用次数: 21

Abstract

This paper discusses the concept of big data mining in the domain of biology and medicine. Biological and medical data are increasing at very rapid rates, which in many cases outpace even Moore's law. This is the result of recent technological development, as well as the exploratory attitude of human beings, that prompts scientists to answer more questions by conducting more experiments. Representative examples are the advances in sequencing and medical imaging technologies. Challenges posed by this data deluge, and the emerging opportunities of their efficient management and analysis are also part of the discussion. The major emphasis is given to the most common biological and medical data mining applications.
生物和医学大数据挖掘
本文讨论了生物和医学领域中大数据挖掘的概念。生物和医学数据正在以非常快的速度增长,在许多情况下甚至超过了摩尔定律。这是最近科技发展的结果,也是人类探索态度的结果,促使科学家们通过进行更多的实验来回答更多的问题。代表性的例子是测序和医学成像技术的进步。数据泛滥带来的挑战,以及对其进行有效管理和分析的新机会也是讨论的一部分。主要的重点是给予最常见的生物和医学数据挖掘应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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