| 000 | 01553cam a2200277zu 4500 | ||
|---|---|---|---|
| 001 | 88831979 | ||
| 003 | FRCYB88831979 | ||
| 005 | 20250107103856.0 | ||
| 006 | m o d | ||
| 007 | cr un | ||
| 008 | 250107s2016 fr | o|||||0|0|||eng d | ||
| 020 | _a9780128018538 | ||
| 035 | _aFRCYB88831979 | ||
| 040 |
_aFR-PaCSA _ben _c _erda |
||
| 100 | 1 | _aMitchell, Maika G. | |
| 245 | 0 | 1 |
_aCell Biology _bTranslational Impact in Cancer Biology and Bioinformatics _c['Mitchell, Maika G.'] |
| 264 | 1 |
_bElsevier Science _c2016 |
|
| 300 | _a p. | ||
| 336 |
_btxt _2rdacontent |
||
| 337 |
_bc _2rdamdedia |
||
| 338 |
_bc _2rdacarrier |
||
| 650 | 0 | _a | |
| 700 | 0 | _aMitchell, Maika G. | |
| 856 | 4 | 0 |
_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88831979 _qtext/html _a |
| 520 | _aCell Biology: Translational Impact in Cancer Biology and Bioinformatics provides insight into the implications for cell cycle regulation and cell proliferation in cancer growth and dissemination. Offering guidance for techniques and tools to help with diagnosis, this publication provides users with a broad view of this research area, and is also useful for both early and experienced researchers across cell biology, cancer research, molecular biology, and in clinical and translational science.Offers insight into how cell cycle and cell division relates to cancer biology Emphasizes flow cytometry and other cell biology techniques for diagnosisIncludes recommendations for integration and analyzation of molecular and clinical data | ||
| 999 |
_c14576 _d14576 |
||