| 000 | 03066nam a22004935i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-53868-6 | ||
| 003 | DE-He213 | ||
| 005 | 20200812110400.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 170310s2017 gw | s |||| 0|eng d | ||
| 020 |
_a9783319538686 _9978-3-319-53868-6 |
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| 024 | 7 |
_a10.1007/978-3-319-53868-6 _2doi |
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| 040 | _cCUS | ||
| 050 | 4 | _aQH324.2-324.25 | |
| 072 | 7 |
_aPSA _2bicssc |
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_aCOM014000 _2bisacsh |
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_aPSA _2thema |
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_aUB _2thema |
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| 082 | 0 | 4 |
_a570.285 _223 |
| 100 | 1 |
_aBezerianos, Anastasios. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 245 | 1 | 0 |
_aComputational Methods for Processing and Analysis of Biological Pathways _h[electronic resource] / _cby Anastasios Bezerianos, Andrei Dragomir, Panos Balomenos. |
| 250 | _a1st ed. 2017. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2017. |
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| 300 |
_aVIII, 87 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 Computer Science, _x2191-5768 |
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| 505 | 0 | _aIntroduction -- Networks and Pathways in Systems Pharmacology -- Time Varying Methods for Pathway and Sub-Pathway Analysis -- Identification of Differentially Expressed Pathways and Sub-Pathways. | |
| 520 | _aThis work offers a guided walkthrough of one of the most promising research areas in modern life sciences, enabling a deeper understanding of involved concepts and methodologies via an interdisciplinary view, focusing on both well-established approaches and cutting-edge research. Highlighting what pathway analysis can offer to both the experimentalist and the modeler, the text opens with an introduction to a general methodology that outlines common workflows shared by several methods. This is followed by a review of pathway and sub-pathway based approaches for systems pharmacology. The work then presents an overview of pathway analysis methods developed to model the temporal aspects of drug- or disease-induced perturbations and extract relevant dynamic themes. The text concludes by discussing several state-of-the-art methods in pathway analysis, which address the important problem of identifying differentially expressed pathways and sub-pathways. | ||
| 650 | 0 | _aBioinformatics. | |
| 650 | 0 | _aSystems biology. | |
| 650 | 1 | 4 |
_aComputational Biology/Bioinformatics. _0https://scigraph.springernature.com/ontologies/product-market-codes/I23050 |
| 650 | 2 | 4 |
_aSystems Biology. _0https://scigraph.springernature.com/ontologies/product-market-codes/L15010 |
| 700 | 1 | _aDragomir, Andrei. | |
| 700 | 1 |
_aBalomenos, Panos. _1https://orcid.org/0000-0002-1074-5933 |
|
| 830 | 0 |
_aSpringerBriefs in Computer Science, _x2191-5768 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-53868-6 |
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| 912 | _aZDB-2-SXCS | ||
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