Weighted change-point method for detecting differential gene expression in breast cancer microarray data
about
Gene expression profiling of breast cancer survivability by pooled cDNA microarray analysis using logistic regression, artificial neural networks and decision treesComparison of methods to identify aberrant expression patterns in individual patients: augmenting our toolkit for precision medicine.Individual-level analysis of differential expression of genes and pathways for personalized medicine.
P2860
Weighted change-point method for detecting differential gene expression in breast cancer microarray data
description
2012 nî lūn-bûn
@nan
2012 թուականին հրատարակուած գիտական յօդուած
@hyw
2012 թվականին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Weighted change-point method f ...... breast cancer microarray data
@ast
Weighted change-point method f ...... breast cancer microarray data
@en
Weighted change-point method f ...... breast cancer microarray data
@en-gb
Weighted change-point method f ...... breast cancer microarray data
@nl
type
label
Weighted change-point method f ...... breast cancer microarray data
@ast
Weighted change-point method f ...... breast cancer microarray data
@en
Weighted change-point method f ...... breast cancer microarray data
@en-gb
Weighted change-point method f ...... breast cancer microarray data
@nl
altLabel
Weighted Change-Point Method f ...... Breast Cancer Microarray Data
@en
prefLabel
Weighted change-point method f ...... breast cancer microarray data
@ast
Weighted change-point method f ...... breast cancer microarray data
@en
Weighted change-point method f ...... breast cancer microarray data
@en-gb
Weighted change-point method f ...... breast cancer microarray data
@nl
P2093
P2860
P1433
P1476
Weighted change-point method f ...... breast cancer microarray data
@en
P2093
Chong Xing
Yanchun Liang
Zhaohua Ji
P2860
P304
P356
10.1371/JOURNAL.PONE.0029860
P407
P577
2012-01-01T00:00:00Z