Development of an unsupervised pixel-based clustering algorithm for compartmentalization of immunohistochemical expression using Automated QUantitative Analysis.
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Identification of estrogen receptor dimer selective ligands reveals growth-inhibitory effects on cells that co-express ERα and ERβQuantification of excision repair cross-complementing group 1 and survival in p16-negative squamous cell head and neck cancersImmunoRatio: a publicly available web application for quantitative image analysis of estrogen receptor (ER), progesterone receptor (PR), and Ki-67Quantitative measurements of HER2 and phospho-HER2 expression: correlation with pathologic response to neoadjuvant chemotherapy and trastuzumab.Recommendations for human epidermal growth factor receptor 2 testing in breast cancer: American Society of Clinical Oncology/College of American Pathologists clinical practice guideline update.Heterogeneity mapping of protein expression in tumors using quantitative immunofluorescence.Influence of tumor microenvironment on prognosis in colorectal cancer: Tissue architecture-dependent signature of endosialin (TEM-1) and associated proteins.Molecular analysis of non-small cell lung cancer identifies subsets with different sensitivity to insulin-like growth factor I receptor inhibitionEGFR expression is associated with decreased benefit from trastuzumab in the NCCTG N9831 (Alliance) trialEGFR protein expression in non-small cell lung cancer predicts response to an EGFR tyrosine kinase inhibitor--a novel antibody for immunohistochemistry or AQUA technology.Quantum dots-based double imaging combined with organic dye imaging to establish an automatic computerized method for cancer Ki67 measurementHigh frequency of putative ovarian cancer stem cells with CD44/CK19 coexpression is associated with decreased progression-free intervals in patients with recurrent epithelial ovarian cancer.Loss of nuclear localized and tyrosine phosphorylated Stat5 in breast cancer predicts poor clinical outcome and increased risk of antiestrogen therapy failure.The prognostic impact of a combined carbonic anhydrase IX and Ki67 signature in oral squamous cell carcinoma.Validation of tumor protein marker quantification by two independent automated immunofluorescence image analysis platforms.Construction and analysis of multiparameter prognostic models for melanoma outcomeEpigenetic activation of LY6K predicts the presence of metastasis and poor prognosis in breast carcinoma.Tissue microarrays and quantitative tissue-based image analysis as a tool for oncology biomarker and diagnostic development.Prognostic significance of FRA expression in epithelial cancers using AQUA(®) technology.Impact of tumoral carbonic anhydrase IX and Ki-67 expression on survival in oral squamous cell carcinoma patients.
P2860
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P2860
Development of an unsupervised pixel-based clustering algorithm for compartmentalization of immunohistochemical expression using Automated QUantitative Analysis.
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年学术文章
@wuu
2009年学术文章
@zh
2009年学术文章
@zh-cn
2009年学术文章
@zh-hans
2009年学术文章
@zh-my
2009年学术文章
@zh-sg
2009年學術文章
@yue
2009年學術文章
@zh-hant
name
Development of an unsupervised ...... tomated QUantitative Analysis.
@en
Development of an unsupervised ...... tomated QUantitative Analysis.
@nl
type
label
Development of an unsupervised ...... tomated QUantitative Analysis.
@en
Development of an unsupervised ...... tomated QUantitative Analysis.
@nl
prefLabel
Development of an unsupervised ...... tomated QUantitative Analysis.
@en
Development of an unsupervised ...... tomated QUantitative Analysis.
@nl
P2093
P1476
Development of an unsupervised ...... tomated QUantitative Analysis.
@en
P2093
Brian Bourke-Martin
Christine Williams
Dylan M Reilly
Greg Tedeschi
Jason Christiansen
Mark D Gustavson
Melissa Cregger
Robert Pinard
P304
P356
10.1097/PAI.0B013E318195ECAA
P577
2009-07-01T00:00:00Z