| 查看: 652 | 回复: 2 | ||
| 【奖励】 本帖被评价2次,作者lcl6932增加金币 1 个 | ||
[资源]
【分享】Data Mining Techniques for the Life Sciences
|
||
|
Data Mining Techniques for the Life Sciences Humana Press | 2009-12-14 | ISBN: 1603272402 | PDF | 5 Mb | 408 pages Whereas getting exact data about living systems and sophisticated experimental procedures have primarily absorbed the minds of researchers previously, the development of high-throughput technologies has caused the weight to increasingly shift to the problem of interpreting accumulated data in terms of biological function and biomolecular mechanisms. In "Data Mining Techniques for the Life Sciences", experts in the field contribute valuable information about the sources of information and the techniques used for "mining" new insights out of databases. Beginning with a section covering the concepts and structures of important groups of databases for biomolecular mechanism research, the book then continues with sections on formal methods for analyzing biomolecular data and reviews of concepts for analyzing biomolecular sequence data in context with other experimental results that can be mapped onto genomes. As a volume of the highly successful Methods in Molecular Biology™ series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results. Authoritative and easy to reference, "Data Mining Techniques for the Life Sciences" seeks to aid students and researchers in the life sciences who wish to get a condensed introduction into the vital world of biological databases and their many applications. http://depositfiles.com/files/1cty1r9yo http://www.megaupload.com/?d=U329EW5T |
» 猜你喜欢
263求调剂
已经有4人回复
石河子大学(211、双一流)硕博研究生长期招生公告
已经有3人回复
一志愿西安交通大学材料工程专业 282分求调剂
已经有13人回复
北科281学硕材料求调剂
已经有6人回复
328求调剂,英语六级551,有科研经历
已经有10人回复
298求调剂
已经有6人回复
310求调剂
已经有4人回复
311求调剂
已经有6人回复
307求调剂
已经有11人回复
材料与化工085600,总分304,本科有两篇sci参与,求调剂
已经有5人回复
2楼2010-05-17 23:13:55
简单回复
2010-07-25 01:04
回复















回复此楼