Microarray classification can be useful to support clinical management decisions for individual patients in, for example, oncology. However, comparing classifiers and selecting the best for each microarray dataset can be a tedious and non-straightforward task. The M@CBETH ( a MicroArray Classification BEnchmarking Tool on a Host server) web service offers the microarray community a simple tool for making optimal two-class predictions. M@CBETH aims at finding the best prediction among different classification methods by using randomizations of the benchmarking dataset. The M@CBETH web service intends to introduce an optimal use of clinical microarray data classification
Accurate classification of DNA microarray data is vital for cancer diagnosis and treatment. For grea...
BACKGROUND:Dozens of omics based cancer classification systems have been introduced with prognostic,...
Microarrays are novel biotechnological technology that is being used widely in cancer research. By a...
Microarray classification can be useful to support clinical management decisions for individual pati...
The M@CBETH (microarray classification bench-marking tool on host server) web service, available at ...
Motivation: In the context of clinical bioinformatics methods are needed for assessing the additiona...
Background: For the last eight years, microarray-based classification has been a major topic in stat...
Microarray is a well-established technology to analyze the expression of many genes in a single reac...
Microarray analysis has made it possible to predict clinical outcomes or diagnosing patients with th...
Background: Machine learning is a powerful approach for describing and predicting classes in microar...
This considers the challenging task of cancer prediction based on microarray data for the medical co...
Microarrays are applications of electrical engineering and technology in biology that allow simultan...
Classification methods used in microarray studies for gene expression are diverse in the way they de...
Thousands of genes can be identified by DNA microarray technology at the same time which can have a ...
High-throughput microarray technology has been widely applied in biological and medical decision-mak...
Accurate classification of DNA microarray data is vital for cancer diagnosis and treatment. For grea...
BACKGROUND:Dozens of omics based cancer classification systems have been introduced with prognostic,...
Microarrays are novel biotechnological technology that is being used widely in cancer research. By a...
Microarray classification can be useful to support clinical management decisions for individual pati...
The M@CBETH (microarray classification bench-marking tool on host server) web service, available at ...
Motivation: In the context of clinical bioinformatics methods are needed for assessing the additiona...
Background: For the last eight years, microarray-based classification has been a major topic in stat...
Microarray is a well-established technology to analyze the expression of many genes in a single reac...
Microarray analysis has made it possible to predict clinical outcomes or diagnosing patients with th...
Background: Machine learning is a powerful approach for describing and predicting classes in microar...
This considers the challenging task of cancer prediction based on microarray data for the medical co...
Microarrays are applications of electrical engineering and technology in biology that allow simultan...
Classification methods used in microarray studies for gene expression are diverse in the way they de...
Thousands of genes can be identified by DNA microarray technology at the same time which can have a ...
High-throughput microarray technology has been widely applied in biological and medical decision-mak...
Accurate classification of DNA microarray data is vital for cancer diagnosis and treatment. For grea...
BACKGROUND:Dozens of omics based cancer classification systems have been introduced with prognostic,...
Microarrays are novel biotechnological technology that is being used widely in cancer research. By a...