| 000 | 03056nlm2a2200397 4500 | ||
|---|---|---|---|
| 001 | 648861 | ||
| 005 | 20231030040852.0 | ||
| 035 | _a(RuTPU)RU\TPU\network\14020 | ||
| 090 | _a648861 | ||
| 100 | _a20160608a2015 k y0engy50 ba | ||
| 101 | 0 | _aeng | |
| 105 | _ay z 100zy | ||
| 135 | _adrcn ---uucaa | ||
| 181 | 0 | _ai | |
| 182 | 0 | _ab | |
| 200 | 1 |
_aMultidimensional visualization for the immune system state presentation in breast cancer patients _fM. Stakheyeva [et al.] |
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| 203 |
_aText _celectronic |
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| 300 | _aTitle screen | ||
| 320 | _a[References: 11 tit.] | ||
| 330 | _aThe immune system is a complex organization system possessing its hierarchical structure of morphological and functional elements united into an integral unity. Therefore the immune system state should be characterized as an integral unity. The use of the NovoSpark Visualisation approach (Canada) to multidimensional data visualization provides the visual image representing the immune system state as an integral unity. This uniform visual characteristic is formed by values of individual immunological parameters in every person. The curves appropriating the immune system states in breast cancer patients with and without cancer progression (hematogenous metastases) during a 3-year follow-up are located in disjoint areas of the multidimensional data space. The obtained data suggest that the immune system greatly influences the course and outcome of breast cancer. In prospect this approach can be useful for a breast cancer outcome prognosis. | ||
| 333 | _aРежим доступа: по договору с организацией-держателем ресурса | ||
| 461 | 0 |
_0(RuTPU)RU\TPU\network\4816 _tAIP Conference Proceedings |
|
| 463 |
_tVol. 1688 : New Operational Technologies _oProceedings of the International Conference, 29–30 September 2015, Tomsk, Russia _fNational Research Tomsk Polytechnic University (TPU) ; ed. M. A. Sadovoy [et al.] _v[080003, 4 p.] _d2015 |
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| 610 | 1 | _aэлектронный ресурс | |
| 610 | 1 | _aтруды учёных ТПУ | |
| 610 | 1 | _aиммунная система | |
| 610 | 1 | _aвизуальная характеристика | |
| 701 | 1 |
_aStakheyeva _bM. |
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| 701 | 1 |
_aEydenzon _bD. V. _gDmitry Valerjevich |
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| 701 | 1 |
_aCherdyntseva _bN. V. _gNadezhda Viktorovna |
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| 701 | 1 |
_aSlonimskaya _bE. M. _gElena Mikhaylovna |
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| 701 | 1 |
_aCherdyntsev _bE. S. _cspecialist in the field of informatics and computer technology _cAssociate Professor of Tomsk Polytechnic University, candidate of technical sciences _f1953- _gEvgeny Sergeevich _2stltpush _3(RuTPU)RU\TPU\pers\36884 |
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| 712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет (ТПУ) _bИнститут кибернетики (ИК) _bКафедра оптимизации систем управления (ОСУ) _h127 _2stltpush _3(RuTPU)RU\TPU\col\18702 |
| 801 | 2 |
_aRU _b63413507 _c20161031 _gRCR |
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| 856 | 4 | _uhttp://dx.doi.org/10.1063/1.4936066 | |
| 942 | _cCF | ||