Clustering of biologically relevant compounds using neural networks and topological indices /
PRZSL
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Skudai : Universiti Teknologi Malaysia,
2006
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| _version_ | 1796698152356544512 |
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| author | Jehan Zeb Shah, author Naomie Salim, author International Conference on Industrial and Information System (1st : 2006 : Sri Langkah) |
| author_facet | Jehan Zeb Shah, author Naomie Salim, author International Conference on Industrial and Information System (1st : 2006 : Sri Langkah) |
| author_sort | Jehan Zeb Shah, author |
| collection | OCEAN |
| description | PRZSL |
| first_indexed | 2024-03-05T01:28:34Z |
| format | |
| id | KOHA-OAI-TEST:259714 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | |
| last_indexed | 2024-03-05T01:28:34Z |
| publishDate | 2006 |
| publisher | Skudai : Universiti Teknologi Malaysia, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:2597142020-12-19T17:08:14ZClustering of biologically relevant compounds using neural networks and topological indices / Jehan Zeb Shah, author Naomie Salim, author International Conference on Industrial and Information System (1st : 2006 : Sri Langkah) Skudai : Universiti Teknologi Malaysia, 2006 PRZSL |
| spellingShingle | Jehan Zeb Shah, author Naomie Salim, author International Conference on Industrial and Information System (1st : 2006 : Sri Langkah) Clustering of biologically relevant compounds using neural networks and topological indices / |
| title | Clustering of biologically relevant compounds using neural networks and topological indices / |
| title_full | Clustering of biologically relevant compounds using neural networks and topological indices / |
| title_fullStr | Clustering of biologically relevant compounds using neural networks and topological indices / |
| title_full_unstemmed | Clustering of biologically relevant compounds using neural networks and topological indices / |
| title_short | Clustering of biologically relevant compounds using neural networks and topological indices / |
| title_sort | clustering of biologically relevant compounds using neural networks and topological indices |
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