Evaluation of the Tissue Microarray Technique for Immunohistochemical Analysis in Rectal Cancer
Archives of Pathology & Laboratory Medicine, 2002 Abstract Background.—Immunohistochemical staining for tumor-associated proteins is widely used for the identification of novel prognostic markers. Recently, a tissue-conserving, high-throughput technique, tissue microarray, has been introduced. This technique uses 0.6-mm tissue core biopsy specimens, 500 to 1000 of which are brought into
Eva, Fernebro +4 more
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, 2005 The scope of this paper is to illustrate the need for an improved quality assurance in fluorometry. For this purpose, instrumental sources of error and their influences on the reliability and comparability of fluorescence data are highlighted for ...
Ebert, P. +7 more
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Comprehensive Review of Hybrid Feature Selection Methods for Microarray-Based Cancer Detection
IEEE AccessMicroarray data-based cancer detection advances early diagnosis and personalized medicine by utilizing gene expression data to develop comprehensive cancer profiles, measuring thousands of genes simultaneously.
Azka Khoirunnisa +3 more
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DNA Microarrays and Related Genomics Techniques: Design, Analysis, and Interpretation of Experiments
Journal of the Royal Statistical Society Series A: Statistics in Society, 2007 Ziang Lu
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Support vector machine and principal component analysis for microarray data classification
, 2018 Cancer is a leading cause of death worldwide although a significant proportion of it can be cured if it is detected early. In recent decades, technology called microarray takes an important role in the diagnosis of cancer. By using data mining technique,
W. Astuti, Adiwijaya
semanticscholar +1 more source
BMC Bioinformatics, 2014 The scale and complexity of genomic data lend themselves to analysis using sophisticated mathematical techniques to yield information that can generate new hypotheses and so guide further experimental investigations. An ensemble clustering method has the
N. Yang +8 more
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Knowledge-based gene expression classification via matrix factorization [PDF]
, 2008 Motivation: Modern machine learning methods based on matrix decomposition techniques, like independent component analysis (ICA) or non-negative matrix factorization (NMF), provide new and efficient analysis tools which are currently explored to analyze ...
A. M. Tomé +47 more
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Profound effect of profiling platform and normalization strategy on detection of differentially expressed microRNAs [PDF]
, 2012 Adequate normalization minimizes the effects of systematic technical variations and is a prerequisite for getting meaningful biological changes. However, there is inconsistency about miRNA normalization performances and recommendations.
Kaiser, Sebastian +4 more
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Gene Expression Analysis in Ovarian Cancer – Faults and Hints from DNA Microarray Study
Frontiers in Oncology, 2014 The introduction of microarray techniques to cancer research brought great expectations for finding biomarkers that would improve patients’ treatment; however, the results of such studies are poorly reproducible and critical analyses of these methods are
K. Lisowska +10 more
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Analysis with respect to instrumental variables for the exploration of microarray data structures
BMC Bioinformatics, 2006 Background Evaluating the importance of the different sources of variations is essential in microarray data experiments. Complex experimental designs generally include various factors structuring the data which should be taken into account. The objective
Schwager Joseph +4 more
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