A combination of hybrid methods to select informative genes form mixedlineage leukemia cancer
The traditional cancer diagnosis relies on a complex and inexact combination of clinical and histopathological data. This classic approach may fail when dealing with atypical tumours or morphologically indistinguishable tumour subtypes. Advances in the area of microarray-based expression analysi...
| Main Authors: | , , , |
|---|---|
| Format: | Book Section |
| Published: |
Penerbit UTM
2008
|
| Subjects: |
| _version_ | 1796855370771070976 |
|---|---|
| author | Mohamad, Mohd. Saberi Omatu, Sigeru Deris, Safaai Yoshioka, Michifumi |
| author_facet | Mohamad, Mohd. Saberi Omatu, Sigeru Deris, Safaai Yoshioka, Michifumi |
| author_sort | Mohamad, Mohd. Saberi |
| collection | ePrints |
| description | The traditional cancer diagnosis relies on a complex and inexact combination of clinical and histopathological data. This classic approach may fail when dealing with atypical tumours or morphologically indistinguishable tumour subtypes. Advances in the area of microarray-based expression analysis have led to the promise of cancer diagnosis using new molecular-based approaches (Wang et al., 2007). A microarray machine is used to measure the expression levels of thousands of genes simultaneously in a cell mixture, and finally it produces microarray data. The task of cancer classification using microarray data is to classify tissue samples into related classes of phenotypes, e.g., cancer versus normal (Mohamad et al., 2007). |
| first_indexed | 2024-03-05T18:27:38Z |
| format | Book Section |
| id | utm.eprints-14295 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T18:27:38Z |
| publishDate | 2008 |
| publisher | Penerbit UTM |
| record_format | dspace |
| spelling | utm.eprints-142952011-08-23T05:36:23Z http://eprints.utm.my/14295/ A combination of hybrid methods to select informative genes form mixedlineage leukemia cancer Mohamad, Mohd. Saberi Omatu, Sigeru Deris, Safaai Yoshioka, Michifumi QA75 Electronic computers. Computer science The traditional cancer diagnosis relies on a complex and inexact combination of clinical and histopathological data. This classic approach may fail when dealing with atypical tumours or morphologically indistinguishable tumour subtypes. Advances in the area of microarray-based expression analysis have led to the promise of cancer diagnosis using new molecular-based approaches (Wang et al., 2007). A microarray machine is used to measure the expression levels of thousands of genes simultaneously in a cell mixture, and finally it produces microarray data. The task of cancer classification using microarray data is to classify tissue samples into related classes of phenotypes, e.g., cancer versus normal (Mohamad et al., 2007). Penerbit UTM 2008 Book Section PeerReviewed Mohamad, Mohd. Saberi and Omatu, Sigeru and Deris, Safaai and Yoshioka, Michifumi (2008) A combination of hybrid methods to select informative genes form mixedlineage leukemia cancer. In: Advances in Bioinformatics. Penerbit UTM , Johor, 51-64 . ISBN 978-983-52-0624-5 |
| spellingShingle | QA75 Electronic computers. Computer science Mohamad, Mohd. Saberi Omatu, Sigeru Deris, Safaai Yoshioka, Michifumi A combination of hybrid methods to select informative genes form mixedlineage leukemia cancer |
| title | A combination of hybrid methods to select informative genes form mixedlineage leukemia cancer |
| title_full | A combination of hybrid methods to select informative genes form mixedlineage leukemia cancer |
| title_fullStr | A combination of hybrid methods to select informative genes form mixedlineage leukemia cancer |
| title_full_unstemmed | A combination of hybrid methods to select informative genes form mixedlineage leukemia cancer |
| title_short | A combination of hybrid methods to select informative genes form mixedlineage leukemia cancer |
| title_sort | combination of hybrid methods to select informative genes form mixed lineage leukemia cancer |
| topic | QA75 Electronic computers. Computer science |
| work_keys_str_mv | AT mohamadmohdsaberi acombinationofhybridmethodstoselectinformativegenesformmixedlineageleukemiacancer AT omatusigeru acombinationofhybridmethodstoselectinformativegenesformmixedlineageleukemiacancer AT derissafaai acombinationofhybridmethodstoselectinformativegenesformmixedlineageleukemiacancer AT yoshiokamichifumi acombinationofhybridmethodstoselectinformativegenesformmixedlineageleukemiacancer AT mohamadmohdsaberi combinationofhybridmethodstoselectinformativegenesformmixedlineageleukemiacancer AT omatusigeru combinationofhybridmethodstoselectinformativegenesformmixedlineageleukemiacancer AT derissafaai combinationofhybridmethodstoselectinformativegenesformmixedlineageleukemiacancer AT yoshiokamichifumi combinationofhybridmethodstoselectinformativegenesformmixedlineageleukemiacancer |