000 | 02040ngm a2200397 a 4500 | ||
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001 | HST1341_1_2 | ||
003 | UkLoHST | ||
006 | m c | ||
007 | cr|cna|||a|||| | ||
007 | vz|czazum | ||
008 | 080121s2007 enk|||||||||||s|||v|eng d | ||
028 | 5 | 0 |
_a1341 _bHenry Stewart Talks |
035 | _a(UkLoHST)471 | ||
035 | _a(UkLU-K)AC000391679 | ||
040 |
_aUkLU-K _beng _cUkLU-K |
||
100 | 1 |
_aGao, Jean. _4spk |
|
245 | 1 | 0 |
_aDiagnosis of early relapse in ovarian cancer using serum proteomic profiling _h[electronic resource] / _cJean Gao. |
260 |
_aLondon : _bHenry Stewart Talks, _c2007. |
||
300 |
_a1 online resource (1 streaming video file (40 min.) : _bcolor, sound). |
||
490 | 1 |
_aUsing bioinformatics in the exploration of genetic diversity : fundamentals and recent advances, _x2056-452X |
|
500 | _aAnimated audio-visual presentation with synchronized narration. | ||
500 | _aTitle from title frames. | ||
505 | 0 | _aContents: Surface-enhanced laser desorption/ionization time-of-flight (SELDI-TOF) mass spectrometry data -- Use of Biomarkers to identify diverse early disease detection -- Ovarian cancer relapse diagnosis -- SVM-MB/RFE: Support Vector Machine- Markov Blanket/Recursive Feature Elimination to identify biomarkers for predicting the early recurrence of ovarian cancer by analyzing SELDI-TOF mass spectrometry data. | |
506 | _aAccess restricted to subscribers. | ||
538 | _aMode of access: World Wide Web. | ||
650 | 2 | _aComputational Biology. | |
650 | 2 | _aGenetics. | |
650 | 2 |
_aNeoplasm Recurrence, Local _xdiagnosis. |
|
650 | 2 |
_aOvarian Neoplasms _xdiagnosis. |
|
650 | 2 | _aOvarian Neoplasms. | |
650 | 2 | _aSpectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization. | |
650 | 2 | _aVariation (Genetics) | |
830 | 0 |
_aHenry Stewart talks. _pBiomedical & life sciences collection. _pUsing bioinformatics in the exploration of genetic diversity : fundamentals and recent advances. |
|
856 | 4 | 0 | _uhttps://hstalks.com/bs/471/ |
856 | 4 | 2 |
_uhttps://hstalks.com/bs/p/40/ _3Series |
999 |
_c77993 _d77993 |