000 | 05766nam a22006615i 4500 | ||
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001 | 978-3-642-04031-3 | ||
003 | DE-He213 | ||
005 | 20240423130305.0 | ||
007 | cr nn 008mamaa | ||
008 | 100301s2009 gw | s |||| 0|eng d | ||
020 |
_a9783642040313 _9978-3-642-04031-3 |
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024 | 7 |
_a10.1007/978-3-642-04031-3 _2doi |
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050 | 4 | _aQH301-705 | |
072 | 7 |
_aPSA _2bicssc |
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072 | 7 |
_aSCI086000 _2bisacsh |
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_a570 _223 |
245 | 1 | 0 |
_aPattern Recognition in Bioinformatics _h[electronic resource] : _b4th IAPR International Conference, PRIB 2009, Sheffield, UK, September 7-9, 2009, Proceedings / _cedited by Visakan Kadirkamanathan, Guido Sanguinetti, Mark Girolami, Mahesan Niranjan, Josselin Noirel. |
250 | _a1st ed. 2009. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2009. |
|
300 |
_aXIV, 452 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 ; _v5780 |
|
505 | 0 | _aEvolutionary Parameters in Sequence Families -- MProfiler: A Profile-Based Method for DNA Motif Discovery -- On Utilizing Optimal and Information Theoretic Syntactic Modeling for Peptide Classification -- Joint Tracking of Cell Morphology and Motion -- Multiclass Microarray Gene Expression Analysis Based on Mutual Dependency Models -- An Efficient Convex Nonnegative Network Component Analysis for Gene Regulatory Network Reconstruction -- Using Higher-Order Dynamic Bayesian Networks to Model Periodic Data from the Circadian Clock of Arabidopsis Thaliana -- Sequential Hierarchical Pattern Clustering -- Syntactic Pattern Recognition Using Finite Inductive Strings -- Evidence-Based Clustering of Reads and Taxonomic Analysis of Metagenomic Data -- Avoiding Spurious Feedback Loops in the Reconstruction of Gene Regulatory Networks with Dynamic Bayesian Networks -- Ligand Electron Density Shape Recognition Using 3D Zernike Descriptors -- Definition of Valid Proteomic Biomarkers: A Bayesian Solution -- Inferring Meta-covariates in Classification -- A Multiobjective Evolutionary Algorithm for Numerical Parameter Space Characterization of Reaction Diffusion Systems -- Knowledge-Guided Docking of WW Domain Proteins and Flexible Ligands -- Distinguishing Regional from Within-Codon Rate Heterogeneity in DNA Sequence Alignments -- A Hybrid Metaheuristic for Biclustering Based on Scatter Search and Genetic Algorithms -- Di-codon Usage for Gene Classification -- Counting Patterns in Degenerated Sequences -- Modelling Stem Cells Lineages with Markov Trees -- Bi-clustering of Gene Expression Data Using Conditional Entropy -- c-GAMMA:Comparative Genome Analysis of Molecular Markers -- Semi-supervised Prediction of Protein Interaction Sentences Exploiting Semantically Encoded Metrics -- Classification of Protein Interaction Sentences via Gaussian Processes -- MCMC Based Bayesian Inference for Modeling Gene Networks -- Efficient Optimal Multi-level Thresholding for Biofilm Image Segmentation -- A Pattern Classification Approach to DNA Microarray Image Segmentation -- Drugs and Drug-Like Compounds: Discriminating Approved Pharmaceuticals from Screening-Library Compounds -- Fast SCOP Classification of Structural Class and Fold Using Secondary Structure Mining in Distance Matrix -- Short Segment Frequency Equalization: A Simple and Effective Alternative Treatment of Background Models in Motif Discovery -- Bayesian Optimization Algorithm for the Non-unique Oligonucleotide Probe Selection Problem -- Microarray Time-Series Data Clustering via Multiple Alignment of Gene Expression Profiles -- Recursive Neural Networks for Undirected Graphs for Learning Molecular Endpoints -- Enhancing the Effectiveness of Fingerprint-Based Virtual Screening: Use of Turbo Similarity Searching and of Fragment Frequencies of Occurrence -- Patterns, Movement and Clinical Diagnosis of Abdominal Adhesions -- Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm -- Cross-Platform Analysis with Binarized Gene Expression Data. | |
650 | 0 | _aLife sciences. | |
650 | 0 | _aPattern recognition systems. | |
650 | 0 | _aBioinformatics. | |
650 | 0 | _aMedical informatics. | |
650 | 0 | _aData mining. | |
650 | 0 |
_aImage processing _xDigital techniques. |
|
650 | 0 | _aComputer vision. | |
650 | 1 | 4 | _aLife Sciences. |
650 | 2 | 4 | _aAutomated Pattern Recognition. |
650 | 2 | 4 | _aComputational and Systems Biology. |
650 | 2 | 4 | _aHealth Informatics. |
650 | 2 | 4 | _aData Mining and Knowledge Discovery. |
650 | 2 | 4 | _aComputer Imaging, Vision, Pattern Recognition and Graphics. |
700 | 1 |
_aKadirkamanathan, Visakan. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aSanguinetti, Guido. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aGirolami, Mark. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aNiranjan, Mahesan. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aNoirel, Josselin. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783642040306 |
776 | 0 | 8 |
_iPrinted edition: _z9783642040320 |
830 | 0 |
_aLecture Notes in Bioinformatics, _x2366-6331 ; _v5780 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-642-04031-3 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
912 | _aZDB-2-LNC | ||
942 | _cSPRINGER | ||
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