A biomimetic algorithm for the improved detection of microarray features
One the major difficulties of microarray technology relate to the processing of large and - importantly - error-loaded images of the dots on the chip surface. Whatever the source of these errors, those obtained in the first stage of data acquisition - segmentation - are passed down to the subsequent...
| Main Authors: | , |
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| Format: | Journal article |
| Language: | English |
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2007
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| _version_ | 1797082187203346432 |
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| author | Nicolau, D Nicolau, D Maini, P |
| author_facet | Nicolau, D Nicolau, D Maini, P |
| author_sort | Nicolau, D |
| collection | OXFORD |
| description | One the major difficulties of microarray technology relate to the processing of large and - importantly - error-loaded images of the dots on the chip surface. Whatever the source of these errors, those obtained in the first stage of data acquisition - segmentation - are passed down to the subsequent processes, with deleterious results. As it has been demonstrated recently that biological systems have evolved algorithms that are mathematically efficient, this contribution attempts to test an algorithm that mimics a bacterial-"patented" algorithm for the search of available space and nutrients to find, "zero-in" and eventually delimitate the features existent on the microarray surface. |
| first_indexed | 2024-03-07T01:24:39Z |
| format | Journal article |
| id | oxford-uuid:918ded29-6b5f-4101-b125-0f0ff25b4ac4 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T01:24:39Z |
| publishDate | 2007 |
| record_format | dspace |
| spelling | oxford-uuid:918ded29-6b5f-4101-b125-0f0ff25b4ac42022-03-26T23:19:27ZA biomimetic algorithm for the improved detection of microarray featuresJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:918ded29-6b5f-4101-b125-0f0ff25b4ac4EnglishSymplectic Elements at Oxford2007Nicolau, DNicolau, DMaini, POne the major difficulties of microarray technology relate to the processing of large and - importantly - error-loaded images of the dots on the chip surface. Whatever the source of these errors, those obtained in the first stage of data acquisition - segmentation - are passed down to the subsequent processes, with deleterious results. As it has been demonstrated recently that biological systems have evolved algorithms that are mathematically efficient, this contribution attempts to test an algorithm that mimics a bacterial-"patented" algorithm for the search of available space and nutrients to find, "zero-in" and eventually delimitate the features existent on the microarray surface. |
| spellingShingle | Nicolau, D Nicolau, D Maini, P A biomimetic algorithm for the improved detection of microarray features |
| title | A biomimetic algorithm for the improved detection of microarray features |
| title_full | A biomimetic algorithm for the improved detection of microarray features |
| title_fullStr | A biomimetic algorithm for the improved detection of microarray features |
| title_full_unstemmed | A biomimetic algorithm for the improved detection of microarray features |
| title_short | A biomimetic algorithm for the improved detection of microarray features |
| title_sort | biomimetic algorithm for the improved detection of microarray features |
| work_keys_str_mv | AT nicolaud abiomimeticalgorithmfortheimproveddetectionofmicroarrayfeatures AT nicolaud abiomimeticalgorithmfortheimproveddetectionofmicroarrayfeatures AT mainip abiomimeticalgorithmfortheimproveddetectionofmicroarrayfeatures AT nicolaud biomimeticalgorithmfortheimproveddetectionofmicroarrayfeatures AT nicolaud biomimeticalgorithmfortheimproveddetectionofmicroarrayfeatures AT mainip biomimeticalgorithmfortheimproveddetectionofmicroarrayfeatures |