A validated gene expression profile for detecting clinical outcome in breast cancer using artificial neural networks.
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Prognostic Significance of Carbonic Anhydrase IX Expression in Cancer Patients: A Meta-AnalysisCross-species gene expression analysis of species specific differences in the preclinical assessment of pharmaceutical compoundsStrategies for power calculations in predictive biomarker studies in survival dataLuminal and basal-like breast cancer cells show increased migration induced by hypoxia, mediated by an autocrine mechanism.Artificial neural network inference (ANNI): a study on gene-gene interaction for biomarkers in childhood sarcomas.Immunoglobulin free light chains are biomarkers of poor prognosis in basal-like breast cancer and are potential targets in tumor-associated inflammationDissecting DNA repair in adult high grade gliomas for patient stratification in the post-genomic era.The potential of hypoxia markers as target for breast molecular imaging--a systematic review and meta-analysis of human marker expression.DACH1: its role as a classifier of long term good prognosis in luminal breast cancer.Temporal Expression of Peripheral Blood Leukocyte Biomarkers in a Macaca fascicularis Infection Model of Tuberculosis; Comparison with Human Datasets and Analysis with Parametric/Non-parametric Tools for Improved Diagnostic Biomarker IdentificationImproving the Prediction of Survival in Cancer Patients by Using Machine Learning Techniques: Experience of Gene Expression Data: A Narrative Review.MYC functions are specific in biological subtypes of breast cancer and confers resistance to endocrine therapy in luminal tumours.Biomarkers for Basal-like Breast Cancer.Identification and validation of oncologic miRNA biomarkers for luminal A-like breast cancer.Biomarker identification in breast cancer: Beta-adrenergic receptor signaling and pathways to therapeutic response.A novel artificial neural network method for biomedical prediction based on matrix pseudo-inversionTargeting BRCA1-BER deficient breast cancer by ATM or DNA-PKcs blockade either alone or in combination with cisplatin for personalized therapyDNA polymerase β deficiency is linked to aggressive breast cancer: a comprehensive analysis of gene copy number, mRNA and protein expression in multiple cohorts.Network inference analysis identifies an APRR2-like gene linked to pigment accumulation in tomato and pepper fruits.Predicting two-year quality of life after breast cancer surgery using artificial neural network and linear regression models.RERG (Ras-like, oestrogen-regulated, growth-inhibitor) expression in breast cancer: a marker of ER-positive luminal-like subtype.Gene expression profiles for predicting metastasis in breast cancer: a cross-study comparison of classification methods.The amino acid transporter SLC7A5 confers a poor prognosis in the highly proliferative breast cancer subtypes and is a key therapeutic target in luminal B tumours.The multifunctional solute carrier 3A2 (SLC3A2) confers a poor prognosis in the highly proliferative breast cancer subtypes.
P2860
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P2860
A validated gene expression profile for detecting clinical outcome in breast cancer using artificial neural networks.
description
2009 nî lūn-bûn
@nan
2009年の論文
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2009年学术文章
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2009年学术文章
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2009年学术文章
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2009年学术文章
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2009年学术文章
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2009年学术文章
@zh-sg
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@yue
2009年學術文章
@zh-hant
name
A validated gene expression pr ...... ng artificial neural networks.
@en
A validated gene expression pr ...... ng artificial neural networks.
@nl
type
label
A validated gene expression pr ...... ng artificial neural networks.
@en
A validated gene expression pr ...... ng artificial neural networks.
@nl
prefLabel
A validated gene expression pr ...... ng artificial neural networks.
@en
A validated gene expression pr ...... ng artificial neural networks.
@nl
P2093
P50
P1476
A validated gene expression pr ...... ing artificial neural networks
@en
P2093
J S Reis-Filho
T M Abdel-Fatah
P2860
P2888
P356
10.1007/S10549-009-0378-1
P407
P577
2009-04-04T00:00:00Z
P5875
P6179
1029151382