24小时热门版块排行榜

返回列表

【奖励】本帖被评价63次，作者star_zhang增加金币 50.2 个

star_zhang

禁虫 (文学泰斗)

[资源] 【英美经典书籍】《Data Mining Techniques for the Life Sciences》【已搜无重复】

【英美经典书籍】《Data Mining Techniques for the Life Sciences》【已搜索，无重复】

【已搜索，无重复】论坛里，有1个同名的帖子，连接已经失效了。
链接地址：http://muchong.com/bbs/viewthread.php?tid=2047857&fpage=1&target=blank
为此，我上传这本书，供朋友们学习和参考。

我上传的这本书：
作者：Oliviero Carugo (Editor), Frank Eisenhaber (Editor)
2010年，420 页，PDF 格式，8 MB。
Language: English
.
封面：
。

。
简介：

Most life science researchers will agree that biology is not a truly theoretical branch of science. The hype around computational biology and bioinformatics beginning in the nineties of the 20th century was to be short lived (1, 2). When almost no value of practical importance such as the optimal dose of a drug or the three-dimensional structure of an orphan protein can be computed from fundamental principles, it is still more straightforward to determine them experimentally. Thus, experiments and observationsdogeneratetheoverwhelmingpartofinsightsintobiologyandmedicine. The extrapolation depth and the prediction power of the theoretical argument in life sciences still have a long way to go. Yet, two trends have qualitatively changed the way how biological research is done today. The number of researchers has dramatically grown and they, armed with the same protocols, have produced lots of similarly structured data. Finally, high-throu- put technologies such as DNA sequencing or array-based expression profiling have been around for just a decade. Nevertheless, with their high level of uniform data generation, they reach the threshold of totally describing a living organism at the biomolecular level for the first time in human history. Whereas getting exact data about living systems and the sophistication of experimental procedures have primarily absorbed the minds of researchers previously, the weight increasingly shifts to the problem of interpreting accumulated data in terms of biological function and bio- lecular mechanisms.
==============================
数据挖掘的相关书籍，如下：
（1）【英美经典书籍】《Data Mining: Concepts and Techniques》(第2版)
链接地址：http://muchong.com/bbs/viewthread.php?tid=8251312
（2）《Data Mining_Concepts and Techniques（第2版）Solution manual》
链接地址：http://muchong.com/bbs/viewthread.php?tid=8251370
（3）【英美经典书籍】《Data Mining: Concepts, Models, Methods, and Algorithms》英文版&中文版
链接地址：http://muchong.com/bbs/viewthread.php?tid=8250853
（4）【英美最新教材】《商务数据科学 - 数据挖掘... ...，2013年》
链接地址：http://muchong.com/bbs/viewthread.php?tid=6381625&fpage=1&target=blank
（5）【英美经典教材】《Data Mining and Statistics for Decision Making》
链接地址：http://muchong.com/bbs/viewthread.php?tid=5831063&fpage=1&target=blank
（6）【英美经典书籍】《从复杂数据中知识挖掘的高级方法》(英文彩色高清)
链接地址：http://muchong.com/bbs/viewthread.php?tid=6524255&fpage=1&target=blank
（7）【英美经典书籍】《Data Mining Techniques for the Life Sciences》
链接地址：http://muchong.com/bbs/viewthread.php?tid=8251444
（8）《Data Mining In Finance_Advances In Relational And Hybrid Method》
链接地址：http://muchong.com/bbs/viewthread.php?tid=8251598
（9）【英美经典书籍】《Fundamentals of Data Mining in Genomics and Proteomics》
链接地址：http://muchong.com/bbs/post.php?action=edit&fid=144&tid=8251936
（10）《Medical Informatics: Knowledge Management and Data Mining in Biomedicine》
链接地址：http://muchong.com/bbs/viewthread.php?tid=8252584
（11）。。。

陆续推出中，敬请关注，。。。。。。
==============================
敬请各位朋友，下载之后，给个回帖评价。我也好继续推出下一个最新科技书籍。
(不下载，也可以评价。)
谢谢！

回复此楼

» 本帖附件资源列表

欢迎监督和反馈：小木虫仅提供交流平台，不对该内容负责。
本内容由用户自主发布，如果其内容涉及到知识产权问题，其责任在于用户本人，如对版权有异议，请联系邮箱：xiaomuchong@tal.com
附件 1 : Data_mining_techniques_for_the_life_sciences_2010.pdf

2014-12-04 19:33:40, 8.36 M

» 收录本帖的淘帖专辑推荐

书籍下载网站	经典资源帖	专业书籍（外文版）WM	Allen的英文原版+百科
Learning English	医学硕博资料大全	医药图书	Allen的生活与健康
环境	重要2014	Biotech资料	曲径通幽