000 01845 a2200529 4500
005 20250514161611.0
264 0 _c20031202
008 200312s 0 0 eng d
022 _a0262-0898
024 7 _a10.1023/a:1025846019656
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aGrey, S R
245 0 0 _aPrediction of nodal spread of breast cancer by using artificial neural network-based analyses of S100A4, nm23 and steroid receptor expression.
_h[electronic resource]
260 _bClinical & experimental metastasis
_c2003
300 _a507-14 p.
_bdigital
500 _aPublication Type: Journal Article
650 0 4 _aAdult
650 0 4 _aAged
650 0 4 _aAged, 80 and over
650 0 4 _aBreast Neoplasms
_xpathology
650 0 4 _aFemale
650 0 4 _aGene Expression Regulation, Neoplastic
650 0 4 _aGenes, Tumor Suppressor
650 0 4 _aGenetic Markers
650 0 4 _aHumans
650 0 4 _aLymphatic Metastasis
_xpathology
650 0 4 _aMiddle Aged
650 0 4 _aModels, Theoretical
650 0 4 _aMonomeric GTP-Binding Proteins
_xgenetics
650 0 4 _aNM23 Nucleoside Diphosphate Kinases
650 0 4 _aNerve Net
650 0 4 _aNucleoside-Diphosphate Kinase
650 0 4 _aPredictive Value of Tests
650 0 4 _aPromoter Regions, Genetic
650 0 4 _aReceptors, Estrogen
_xgenetics
650 0 4 _aReceptors, Progesterone
_xgenetics
650 0 4 _aReceptors, Steroid
_xgenetics
650 0 4 _aS100 Calcium-Binding Protein A4
650 0 4 _aS100 Proteins
_xgenetics
650 0 4 _aTranscription Factors
_xgenetics
700 1 _aDlay, S S
700 1 _aLeone, B E
700 1 _aCajone, F
700 1 _aSherbet, G V
773 0 _tClinical & experimental metastasis
_gvol. 20
_gno. 6
_gp. 507-14
856 4 0 _uhttps://doi.org/10.1023/a:1025846019656
_zAvailable from publisher's website
999 _c14336810
_d14336810