000 | 02977nam a22005535i 4500 | ||
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001 | 978-1-4471-4751-0 | ||
003 | DE-He213 | ||
005 | 20140220083237.0 | ||
007 | cr nn 008mamaa | ||
008 | 121205s2012 xxk| s |||| 0|eng d | ||
020 |
_a9781447147510 _9978-1-4471-4751-0 |
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024 | 7 |
_a10.1007/978-1-4471-4751-0 _2doi |
|
050 | 4 | _aQH324.2-324.25 | |
072 | 7 |
_aPSA _2bicssc |
|
072 | 7 |
_aUB _2bicssc |
|
072 | 7 |
_aCOM014000 _2bisacsh |
|
082 | 0 | 4 |
_a570.285 _223 |
100 | 1 |
_aVidyasagar, Mathukumalli. _eauthor. |
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245 | 1 | 0 |
_aComputational Cancer Biology _h[electronic resource] : _bAn Interaction Network Approach / _cby Mathukumalli Vidyasagar. |
264 | 1 |
_aLondon : _bSpringer London : _bImprint: Springer, _c2012. |
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300 |
_aXII, 80 p. 11 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSpringerBriefs in Electrical and Computer Engineering, _x2191-8112 |
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505 | 0 | _aIntroduction -- Inferring Genetic Regulatory Networks -- Context-specific Genomic Networks -- Analyzing Statistical Significance -- Separating Drivers from Passengers -- Some Research Directions. | |
520 | _aThis brief introduces readers to various problems in cancer biology that are amenable to analysis using methods of probability theory and statistics, building on only a basic background in these two topics. Aside from providing a self-contained introduction to several aspects of basic biology and to cancer, as well as to the techniques from statistics most commonly used in cancer biology, the brief describes several methods for inferring gene interaction networks from expression data, including one that is reported for the first time in the brief. The application of these methods is illustrated on actual data from cancer cell lines. Some promising directions for new research are also discussed. After reading the brief, engineers and mathematicians should be able to collaborate fruitfully with their biologist colleagues on a wide variety of problems. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aOncology. | |
650 | 0 | _aBioinformatics. | |
650 | 0 | _aBiological models. | |
650 | 0 |
_aPhysiology _xMathematics. |
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650 | 0 | _aStatistics. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aComputational Biology/Bioinformatics. |
650 | 2 | 4 | _aPhysiological, Cellular and Medical Topics. |
650 | 2 | 4 | _aControl. |
650 | 2 | 4 | _aStatistics for Life Sciences, Medicine, Health Sciences. |
650 | 2 | 4 | _aSystems Biology. |
650 | 2 | 4 | _aCancer Research. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9781447147503 |
830 | 0 |
_aSpringerBriefs in Electrical and Computer Engineering, _x2191-8112 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-1-4471-4751-0 |
912 | _aZDB-2-SCS | ||
999 |
_c100792 _d100792 |