Erworben im Rahmen der Schweizer Nationallizenzen (http://www.nationallizenzen.ch
The gene microarray analysis and classification have demonstrated an effective way for the effective...
Cancer can develop through a series of genetic events in combination with external influential facto...
DNA microarray data are characterized by high-dimensional and low-sized samples, as only few tens of...
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...
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...
The growth of abnormal cells in the brain causes human brain tumors. Identifying the type of tumor i...
Microarray data stores the measured expression levels of thousands of genes simultaneously which hel...
AbstractOne of the major challenges in microarray analysis, especially in cancer gene expression pro...
The gene microarray analysis and classification have demonstrated an effective way for the effective...
Cancer can develop through a series of genetic events in combination with external influential facto...
DNA microarray data are characterized by high-dimensional and low-sized samples, as only few tens of...
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...
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...
The growth of abnormal cells in the brain causes human brain tumors. Identifying the type of tumor i...
Microarray data stores the measured expression levels of thousands of genes simultaneously which hel...
AbstractOne of the major challenges in microarray analysis, especially in cancer gene expression pro...
The gene microarray analysis and classification have demonstrated an effective way for the effective...
Cancer can develop through a series of genetic events in combination with external influential facto...
DNA microarray data are characterized by high-dimensional and low-sized samples, as only few tens of...