Search Results - "Blazadonakis, Michalis"

Outcome prediction based on microarray analysis: a critical perspective on methods by Zervakis, Michalis, Blazadonakis, Michalis E, Tsiliki, Georgia, Danilatou, Vasiliki, Tsiknakis, Manolis, Kafetzopoulos, Dimitris

“…Information extraction from microarrays has not yet been widely used in diagnostic or prognostic decision-support systems, due to the diversity of results…”
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Integration of gene signatures using biological knowledge by Blazadonakis, Michalis E, Zervakis, Michalis E, Kafetzopoulos, Dimitrios

“…Abstract Objective Gene expression patterns that distinguish clinically significant disease subclasses may not only play a prominent role in diagnosis, but…”
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The linear neuron as marker selector and clinical predictor in cancer gene analysis by Blazadonakis, Michalis E, Zervakis, Michalis

“…Abstract Objective The problem of gene selection has been extensively studied in a number of scientific works using various kinds of methods. However, the…”
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Wrapper filtering criteria via linear neuron and kernel approaches by Blazadonakis, Michalis E, Zervakis, Michalis

“…Abstract Objective : The problem of marker selection in DNA microarray analysis has been addressed so far by two basic types of approaches, the so-called…”
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Complementary Gene Signature Integration in Multiplatform Microarray Experiments by Blazadonakis, M E, Zervakis, M E, Kafetzopoulos, D

“…The concept of gene signature overlap has been addressed previously in a number of research papers. A common conclusion is the absence of significant overlap…”
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Comparison and unification of genomic signatures in breast cancer by Blazadonakis, M.E., Zervakis, M.E.

“…The concept of deriving a gene signature in breast cancer has been addressed by different research groups, each one proposing a different solution with minor…”
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Using a Single Neuron as a Marker Selector - A Breast Cancer Case Study by Blazadonakis, M.E., Perperoglou, A., Zervakis, M.

“…The problem of marker selection in DNA microarray analysis has been mostly addressed by linear methods. RFE-SVM is such a representative method where a linear…”
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A Proposal for Gene Signature Integration by Blazadonakis, M.E., Zervakis, M.E., Kafetzopoulos, D.

“…Gene expression patterns that can distinguish to a clinically significant degree disease subclasses not only play a prominent role in diagnosis but also lead…”
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Deep assessment of machine learning techniques using patient treatment in acute abdominal pain in children by Blazadonakis, Michalis, Moustakis, Vassilis, Charissis, Giorgos

“…Learning from patient records may aid knowledge acquisition and decision making. Existing inductive machine learning (ML) systems such us Newld, CN2, C4.5 and…”
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Revealing Significant Biological Knowledge via Gene Ontologies and Pathways by Blazadonakis, M.E., Zervakis, M.

“…Many scientific works in the field of bioinformatics and marker selection deal with the problem of deriving a gene signature with significant statistical…”
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Polynomial and RBF Kernels as Marker Selection Tools-A Breast Cancer Case Study by Blazadonakis, M.E., Zervakis, M.

“…The problem of marker selection in DNA microarray experiment, due to the "curse of dimensionality", has been mostly addressed so far by linear approaches…”
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Assessment of boolean minimization in symbolic empirical learning by Moustakis, Vassilis S., Blazadonakis, Michalis, Marazakis, Manolis, Potamias, George

“…We report research on the assessment of Boolean minimization in symbolic empirical learning. We view training examples as logical expressions and implement…”
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