| 查看: 4201 | 回复: 70 | ||
| 当前只显示满足指定条件的回帖,点击这里查看本话题的所有回帖 | ||
[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! |
» 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
» 猜你喜欢
空间转录组
已经有0人回复
空间转录组测序
已经有0人回复
消化系统论文润色/翻译怎么收费?
已经有232人回复
能否有个流行病学/微生物学的博士机会?
已经有1人回复
视神经挤压损伤模型ONC小鼠实验相关
已经有2人回复
已中的两个地区项目有固定代码
已经有6人回复
JJW维护个der啊!
已经有6人回复
如果明天放榜,一般国合几点能查到?
已经有17人回复
投稿Journal of Medicinal Chemisty求助
已经有1人回复
Janus particles (雅努斯颗粒)微球的应用
已经有0人回复
62楼2016-03-31 17:15:44
简单回复
2014-12-04 20:00
回复
五星好评 顶一下,感谢分享!
2014-12-04 20:20
回复
五星好评 顶一下,感谢分享!
2014-12-04 22:34
回复
五星好评 顶一下,感谢分享!
2014-12-05 07:27
回复
五星好评 顶一下,感谢分享!
pizico7楼
2014-12-05 08:22
回复
五星好评 顶一下,感谢分享!
2014-12-05 08:55
回复
五星好评 顶一下,感谢分享!
civilp9楼
2014-12-05 09:34
回复
三星好评 顶一下,感谢分享!
ykyang10楼
2014-12-05 09:42
回复
五星好评 顶一下,感谢分享!
sjshvdc11楼
2014-12-05 10:51
回复
五星好评 顶一下,感谢分享!
xwj00712楼
2014-12-05 11:25
回复
五星好评 顶一下,感谢分享!
胡不归13楼
2014-12-05 12:58
回复
五星好评 顶一下,感谢分享!









回复此楼