DOIAbstract
Erworben im Rahmen der Schweizer Nationallizenzen (http://www.nationallizenzen.ch
Erworben im Rahmen der Schweizer Nationallizenzen (http://www.nationallizenzen.ch
DNA microarray data are characterized by high-dimensional and low-sized samples, as only few tens of...
Cancer can develop through a series of genetic events in combination with external influential facto...
Cancer classification based on molecular level investigation has gained the interest of researches a...
Erworben im Rahmen der Schweizer Nationallizenzen (http://www.nationallizenzen.ch
Motivation: Microarray experiments are expected to contribute significantly to the progress in cance...
–A reliable and precise classification of tumours is essential for successful treatment of cancer. ...
We have investigated strategies for enhancing ensemble learning algorithms for DNA microarray data a...
Motivation: Microarray experiments generate large datasets with expression values for thousands of g...
Whole genome RNA expression studies permit systematic approaches to understanding the correlation be...
With the advent of inexpensive microarray technology, biologists have become increasingly reliant on...
AbstractOne of the major challenges in microarray analysis, especially in cancer gene expression pro...
This paper introduces a robust variant of AdaBoost, cw-AdaBoost, that uses weight perturbation to r...
BACKGROUND: The aim of this study was to develop an original method to extract sets of relevant mole...
Microarray data stores the measured expression levels of thousands of genes simultaneously which hel...
The growth of abnormal cells in the brain causes human brain tumors. Identifying the type of tumor i...
DNA microarray data are characterized by high-dimensional and low-sized samples, as only few tens of...
Cancer can develop through a series of genetic events in combination with external influential facto...
Cancer classification based on molecular level investigation has gained the interest of researches a...
Erworben im Rahmen der Schweizer Nationallizenzen (http://www.nationallizenzen.ch
Motivation: Microarray experiments are expected to contribute significantly to the progress in cance...
–A reliable and precise classification of tumours is essential for successful treatment of cancer. ...
We have investigated strategies for enhancing ensemble learning algorithms for DNA microarray data a...
Motivation: Microarray experiments generate large datasets with expression values for thousands of g...
Whole genome RNA expression studies permit systematic approaches to understanding the correlation be...
With the advent of inexpensive microarray technology, biologists have become increasingly reliant on...
AbstractOne of the major challenges in microarray analysis, especially in cancer gene expression pro...
This paper introduces a robust variant of AdaBoost, cw-AdaBoost, that uses weight perturbation to r...
BACKGROUND: The aim of this study was to develop an original method to extract sets of relevant mole...
Microarray data stores the measured expression levels of thousands of genes simultaneously which hel...
The growth of abnormal cells in the brain causes human brain tumors. Identifying the type of tumor i...
DNA microarray data are characterized by high-dimensional and low-sized samples, as only few tens of...
Cancer can develop through a series of genetic events in combination with external influential facto...
Cancer classification based on molecular level investigation has gained the interest of researches a...
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