000 | 03821nam a22006495i 4500 | ||
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001 | 978-3-540-33105-6 | ||
003 | DE-He213 | ||
005 | 20240423125602.0 | ||
007 | cr nn 008mamaa | ||
008 | 100301s2006 gw | s |||| 0|eng d | ||
020 |
_a9783540331056 _9978-3-540-33105-6 |
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024 | 7 |
_a10.1007/11691730 _2doi |
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050 | 4 | _aQ334-342 | |
050 | 4 | _aTA347.A78 | |
072 | 7 |
_aUYQ _2bicssc |
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072 | 7 |
_aCOM004000 _2bisacsh |
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072 | 7 |
_aUYQ _2thema |
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082 | 0 | 4 |
_a006.3 _223 |
245 | 1 | 0 |
_aData Mining for Biomedical Applications _h[electronic resource] : _bPAKDD 2006 Workshop, BioDM 2006, Singapore, April 9, 2006, Proceedings / _cedited by Jinyan Li, Qiang Yang, Ah-Hwee Tan. |
250 | _a1st ed. 2006. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2006. |
|
300 |
_aVIII, 155 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Bioinformatics, _x2366-6331 ; _v3916 |
|
505 | 0 | _aKeynote Talk -- Exploiting Indirect Neighbours and Topological Weight to Predict Protein Function from Protein-Protein Interactions -- Database and Search -- A Database Search Algorithm for Identification of Peptides with Multiple Charges Using Tandem Mass Spectrometry -- Filtering Bio-sequence Based on Sequence Descriptor -- Automatic Extraction of Genomic Glossary Triggered by Query -- Frequent Subsequence-Based Protein Localization -- Bio Data Clustering -- gTRICLUSTER: A More General and Effective 3D Clustering Algorithm for Gene-Sample-Time Microarray Data -- Automatic Orthologous-Protein-Clustering from Multiple Complete-Genomes by the Best Reciprocal BLAST Hits -- A Novel Clustering Method for Analysis of Gene Microarray Expression Data -- Heterogeneous Clustering Ensemble Method for Combining Different Cluster Results -- In-silico Diagnosis -- Rule Learning for Disease-Specific Biomarker Discovery from Clinical Proteomic Mass Spectra -- Machine Learning Techniques and Chi-Square Feature Selection for Cancer Classification Using SAGE Gene Expression Profiles -- Generation of Comprehensible Hypotheses from Gene Expression Data -- Classification of Brain Glioma by Using SVMs Bagging with Feature Selection -- Missing Value Imputation Framework for Microarray Significant Gene Selection and Class Prediction -- Informative MicroRNA Expression Patterns for Cancer Classification. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aDatabase management. | |
650 | 0 | _aInformation storage and retrieval systems. | |
650 | 0 | _aBioinformatics. | |
650 | 0 |
_aComputer science _xMathematics. |
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650 | 0 | _aMathematical statistics. | |
650 | 0 | _aMedical informatics. | |
650 | 1 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aDatabase Management. |
650 | 2 | 4 | _aInformation Storage and Retrieval. |
650 | 2 | 4 | _aBioinformatics. |
650 | 2 | 4 | _aProbability and Statistics in Computer Science. |
650 | 2 | 4 | _aHealth Informatics. |
700 | 1 |
_aLi, Jinyan. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aYang, Qiang. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aTan, Ah-Hwee. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783540331049 |
776 | 0 | 8 |
_iPrinted edition: _z9783540821984 |
830 | 0 |
_aLecture Notes in Bioinformatics, _x2366-6331 ; _v3916 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/11691730 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
912 | _aZDB-2-LNC | ||
942 | _cSPRINGER | ||
999 |
_c179564 _d179564 |