000 | 01793cam a22003494i 4500 | ||
---|---|---|---|
001 | 16516478 | ||
003 | IIITD | ||
005 | 20231010020002.0 | ||
008 | 101018s2011 flua b 001 0 eng | ||
010 | _a 2010042932 | ||
016 | 7 |
_a101544392 _2DNLM |
|
020 | _a9780367452285 | ||
035 | _a(OCoLC)ocn672977443 | ||
040 |
_aDNLM/DLC _cDLC _erda _dYDX _dNLM _dYDXCP _dCDX _dDLC |
||
042 | _apcc | ||
050 | 0 | 0 |
_aQP551 _b.Y66 2011 |
060 | 1 | 0 | _aQU 58.5 |
082 | 0 | 0 |
_a572.6 _222 _bYON-I |
100 | 1 | _aYona, Golan | |
245 | 1 | 0 |
_aIntroduction to computational proteomics _cby Golan Yona. |
260 |
_aLondon : _bCRC Press, _c©2011 |
||
300 |
_axxii, 739 p. : _bill. ; _c25 cm. |
||
490 | _aChapman & Hall/CRC mathematical and computational biology series | ||
500 | _a"A Chapman & Hall book." | ||
504 | _aIncludes bibliographical references and index. | ||
520 | _a"This book tackles the steps and problems involved with protein analysis, classification, and meta-organization. It starts with the analysis of individual entities and proceeds to the analysis of more complex entities, from protein families to interactions, cellular pathways, and gene networks. The first part of the book presents methods for identifying the building blocks of the protein space, algorithms for assessing similarity between proteins, and mathematical models for representing protein families and classifying new instances. The second part covers methods that investigate higher order structure in the protein space through the application of unsupervised learning algorithms"--Provided by publisher. | ||
650 | 0 |
_aProteomics _xMathematical models. |
|
650 | 1 | 2 |
_aProteomics _xmethods. |
906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
||
942 |
_2ddc _cBK _02 |
||
999 |
_c156360 _d156360 |