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...
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| Format: | Book |
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International Society for Optical Engineering
2007
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| _version_ | 1797084216792449024 |
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| author | Nicolau jr, D Nicolau, D Maini, P |
| author_facet | Nicolau jr, D Nicolau, D Maini, P |
| author_sort | Nicolau jr, 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 | 2024-03-07T01:52:18Z |
| format | Book |
| id | oxford-uuid:9a87ff95-1d61-4662-8d41-9423ab0eac2e |
| institution | University of Oxford |
| last_indexed | 2024-03-07T01:52:18Z |
| publishDate | 2007 |
| publisher | International Society for Optical Engineering |
| record_format | dspace |
| spelling | oxford-uuid:9a87ff95-1d61-4662-8d41-9423ab0eac2e2022-03-27T00:21:56ZA biomimetic algorithm for the improved detection of microarray features,Bookhttp://purl.org/coar/resource_type/c_2f33uuid:9a87ff95-1d61-4662-8d41-9423ab0eac2eMathematical Institute - ePrintsInternational Society for Optical Engineering2007Nicolau jr, 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 jr, 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 |
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