| scholarly article | Q13442814 |
| P2093 | author name string | Jin Hyun Park | |
| Dongkwon Lee | |||
| In-Beum Lee | |||
| Ji-Hoon Cho | |||
| P2860 | cites work | Cluster analysis and display of genome-wide expression patterns | Q24644463 |
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| Gene expression profiling: monitoring transcription and translation products using DNA microarrays and proteomics. | Q34020013 | ||
| Gene selection: a Bayesian variable selection approach | Q40613841 | ||
| New gene selection method for classification of cancer subtypes considering within-class variation | Q47635537 | ||
| Tissue classification with gene expression profiles. | Q52926963 | ||
| Gene Selection for Cancer Classification using Support Vector Machines | Q56535529 | ||
| Wrappers for feature subset selection | Q56689295 | ||
| Choosing Multiple Parameters for Support Vector Machines | Q56906379 | ||
| Gene-Expression Profiles in Hereditary Breast Cancer | Q57240053 | ||
| P433 | issue | 1-3 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | kernel machine | Q110369942 |
| P304 | page(s) | 93-98 | |
| P577 | publication date | 2004-07-01 | |
| P1433 | published in | FEBS Letters | Q1388051 |
| P1476 | title | Gene selection and classification from microarray data using kernel machine | |
| P478 | volume | 571 |
| Q39779615 | A hierarchical two-phase framework for selecting genes in cancer datasets with a neuro-fuzzy system |
| Q33389178 | A novel method incorporating gene ontology information for unsupervised clustering and feature selection |
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| Q31115765 | Classification of Microarray Data Using Kernel Fuzzy Inference System |
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| Q39013348 | Predicting brain metastases for non-small cell lung cancer based on magnetic resonance imaging. |
| Q38058741 | Toxicogenomic Approaches in Developmental Toxicology Testing |
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