Interrogating differences in expression of targeted gene sets to predict breast cancer outcome.
about
The Discovery of Novel Biomarkers Improves Breast Cancer Intrinsic Subtype Prediction and Reconciles the Labels in the METABRIC Data Set.Acquired convergence of hormone signaling in breast cancer: ER and PR transition from functionally distinct in normal breast to predictors of metastatic disease.Effects of human arylamine N-acetyltransferase I knockdown in triple-negative breast cancer cell lines.Interaction between smoking history and gene expression levels impacts survival of breast cancer patients.The prognostic significance of protein tyrosine phosphatase 4A2 in breast cancer.Multivariate models from RNA-Seq SNVs yield candidate molecular targets for biomarker discovery: SNV-DAZinc transporter ZIP10 forms a heteromer with ZIP6 which regulates embryonic development and cell migration.A strategy to identify housekeeping genes suitable for analysis in breast cancer diseases.MINT: a multivariate integrative method to identify reproducible molecular signatures across independent experiments and platformsCongenic rats with higher arylamine N-acetyltransferase 2 activity exhibit greater carcinogen-induced mammary tumor susceptibility independent of carcinogen metabolism.LRBA is Essential for Allogeneic Responses in Bone Marrow TransplantationTranscriptomics in cancer diagnostics: developments in technology, clinical research and commercialization.NetNorM: Capturing cancer-relevant information in somatic exome mutation data with gene networks for cancer stratification and prognosis.Integration of high-risk human papillomavirus into cellular cancer-related genes in head and neck cancer cell lines.Computing molecular signatures as optima of a bi-objective function: method and application to prediction in oncogenomics.The BEACH Protein LRBA Promotes the Localization of the Heterotrimeric G-protein Golf to Olfactory Cilia.Clinical outcomes linked to expression of gene subsets for protein hormones and their cognate receptors from LCM-procured breast carcinoma cells.Trimodal distribution of arylamine N-acetyltransferase 1 mRNA in breast cancer tumors: association with overall survival and drug resistance.
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P2860
Interrogating differences in expression of targeted gene sets to predict breast cancer outcome.
description
2013 nî lūn-bûn
@nan
2013 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Interrogating differences in e ...... predict breast cancer outcome.
@ast
Interrogating differences in e ...... predict breast cancer outcome.
@en
type
label
Interrogating differences in e ...... predict breast cancer outcome.
@ast
Interrogating differences in e ...... predict breast cancer outcome.
@en
prefLabel
Interrogating differences in e ...... predict breast cancer outcome.
@ast
Interrogating differences in e ...... predict breast cancer outcome.
@en
P2860
P356
P1433
P1476
Interrogating differences in e ...... predict breast cancer outcome.
@en
P2093
James L Wittliff
Sarah A Andres
P2860
P2888
P356
10.1186/1471-2407-13-326
P407
P50
P577
2013-07-02T00:00:00Z
P5875
P6179
1035016860