000 | 04197nam a22006255i 4500 | ||
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001 | 978-3-030-51862-2 | ||
003 | DE-He213 | ||
005 | 20240423125324.0 | ||
007 | cr nn 008mamaa | ||
008 | 201003s2020 sz | s |||| 0|eng d | ||
020 |
_a9783030518622 _9978-3-030-51862-2 |
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024 | 7 |
_a10.1007/978-3-030-51862-2 _2doi |
|
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_a570.285 _223 |
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_a570.113 _223 |
245 | 1 | 0 |
_aNetworks in Systems Biology _h[electronic resource] : _bApplications for Disease Modeling / _cedited by Fabricio Alves Barbosa da Silva, Nicolas Carels, Marcelo Trindade dos Santos, Francisco José Pereira Lopes. |
250 | _a1st ed. 2020. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2020. |
|
300 |
_aX, 377 p. 82 illus., 71 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aComputational Biology, _x2662-2432 ; _v32 |
|
505 | 0 | _a1. Network Medicine: Methods and Applications -- 2. Computational Tools to Compare Biological Networks -- 3. Functional Gene Networks and their Applications -- 4. A Review of Artificial Neural Networks for the Prediction of Essential Proteins -- 5. Transcriptograms: A Genome Wide Gene Expression Analysis Method -- 6. A Tutorial on Sobols’ Global Sensitivity Analysis Applied to Biological Models -- 7. Reaction Network Models as a Tool to Study Gene Regulation and Cell Signaling in Development and Diseases -- 8. Challenges for the Optimization of Drug Therapy in the Treatment of Cancer -- 9. Opportunities and Challenges Provided by Boolean Modelling of Cancer Signalling Pathways -- 10. Integrating Omics Data to Prioritize Target Genes in Pathogenic Bacteria -- 11. Modelling Oxidative Stress Pathways -- 12. Computational Modeling in Virus Infections and Virtual Screening, Docking and Molecular Dynamics in Drug Design -- 13. Cellular Regulatory Network Modeling Applied to Breast Cancer. | |
520 | _aThis book presents a range of current research topics in biological network modeling, as well as its application in studies on human hosts, pathogens, and diseases. Systems biology is a rapidly expanding field that involves the study of biological systems through the mathematical modeling and analysis of large volumes of biological data. Gathering contributions from renowned experts in the field, some of the topics discussed in depth here include networks in systems biology, the computational modeling of multidrug-resistant bacteria, and systems biology of cancer. Given its scope, the book is intended for researchers, advanced students, and practitioners of systems biology. The chapters are research-oriented, and present some of the latest findings on their respective topics. | ||
650 | 0 | _aBioinformatics. | |
650 | 0 | _aComputer simulation. | |
650 | 0 | _aMedical informatics. | |
650 | 0 | _aCancer. | |
650 | 1 | 4 | _aComputational and Systems Biology. |
650 | 2 | 4 | _aComputer Modelling. |
650 | 2 | 4 | _aHealth Informatics. |
650 | 2 | 4 | _aCancer Biology. |
700 | 1 |
_ada Silva, Fabricio Alves Barbosa. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aCarels, Nicolas. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aTrindade dos Santos, Marcelo. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aLopes, Francisco José Pereira. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030518615 |
776 | 0 | 8 |
_iPrinted edition: _z9783030518639 |
776 | 0 | 8 |
_iPrinted edition: _z9783030518646 |
830 | 0 |
_aComputational Biology, _x2662-2432 ; _v32 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-51862-2 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cSPRINGER | ||
999 |
_c176681 _d176681 |