SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets.
about
Stability-based comparison of class discovery methods for DNA copy number profiles.CAMK1D amplification implicated in epithelial-mesenchymal transition in basal-like breast cancer.Identification of Copy Number Aberrations in Breast Cancer Subtypes Using Persistence Topology.Translating the genomic architecture of breast cancer into clinical applications.Comparison of Clinical Subgroup aCGH Profiles through Pseudolikelihood Ratio Tests.
P2860
SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets.
description
2007 nî lūn-bûn
@nan
2007 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets.
@ast
SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets.
@en
SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets.
@nl
type
label
SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets.
@ast
SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets.
@en
SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets.
@nl
prefLabel
SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets.
@ast
SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets.
@en
SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets.
@nl
P2093
P2860
P356
P1433
P1476
SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets.
@en
P2093
Carmen Lai
Eric H van Beers
Hugo M Horlings
Lodewyk F A Wessels
Marcel J T Reinders
Petra M Nederlof
P2860
P2888
P356
10.1186/1471-2105-8-422
P577
2007-10-30T00:00:00Z
P5875
P6179
1048577622