000 | 05188nam a22006255i 4500 | ||
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001 | 978-3-642-34123-6 | ||
003 | DE-He213 | ||
005 | 20160624102220.0 | ||
007 | cr nn 008mamaa | ||
008 | 121116s2012 gw | s |||| 0|eng d | ||
020 |
_a9783642341236 _9978-3-642-34123-6 |
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024 | 7 |
_a10.1007/978-3-642-34123-6 _2doi |
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050 | 4 | _aQH324.2-324.25 | |
072 | 7 |
_aPSA _2bicssc |
|
072 | 7 |
_aUB _2bicssc |
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072 | 7 |
_aCOM014000 _2bisacsh |
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082 | 0 | 4 |
_a570.285 _223 |
245 | 1 | 0 |
_aPattern Recognition in Bioinformatics _h[electronic resource] : _b7th IAPR International Conference, PRIB 2012, Tokyo, Japan, November 8-10, 2012. Proceedings / _cedited by Tetsuo Shibuya, Hisashi Kashima, Jun Sese, Shandar Ahmad. |
260 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2012. |
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264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2012. |
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300 |
_aXII, 278 p. 74 illus. _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 Computer Science, _x0302-9743 ; _v7632 |
|
505 | 0 | _aRobust Community Detection Methods with Resolution Parameter for Complex Detection in Protein Protein Interaction Networks -- Machine Learning Scoring Functions Based on Random Forest and Support Vector Regression -- A Genetic Algorithm for Scale-Based Translocon Simulation -- A Framework of Gene Subset Selection Using Multiobjective Evolutionary Algorithm -- Multiple Tree Alignment with Weights Applied to Carbohydrates to Extract Binding Recognition Patterns -- A Unified Adaptive Co-identification Framework for High-D Expression Data -- Protein Clustering on a Grassmann Manifold -- Improving the Portability and Performance of jViz.RNA – A Dynamic RNA Visualization Software -- A Novel Machine Learning Approach for Detecting the Brain Abnormalities from MRI Structural Images -- An Open Framework for Extensible Multi-stage Bioinformatics Software -- An Algorithm to Assemble Gene-Protein Reaction Associations for Genome-Scale Metabolic Model Reconstruction -- A Machine Learning and Chemometrics Assisted Interpretation of Spectroscopic Data – A NMR-Based Metabolomics Platform for the Assessment of Brazilian -- Principal Component Analysis for Bacterial Proteomic Analysis -- Application of the Multi-modal Relevance Vector Machine to the Problem of Protein Secondary Structure Prediction -- Cascading Discriminant and Generative Models for Protein Secondary Structure Prediction -- Improvement of the Protein–Protein Docking Prediction by Introducing a Simple Hydrophobic Interaction Model: An Application to Interaction Pathway Analysis -- Representation of Protein Secondary Structure Using Bond-Orientational Order Parameters -- Diagnose the Premalignant Pancreatic Cancer Using High Dimensional Linear Machine -- Predicting V(D)J Recombination Using Conditional Random Fields -- A Simple Genetic Algorithm for Biomarker Mining -- Finding Conserved Regions in Protein Structures Using Support Vector Machines and Structure Alignment -- Aligning Discovered Patterns from Protein Family Sequences -- Application of the Burrows-Wheeler Transform for Searching for Approximate Tandem Repeats -- Pattern Recognition for Subfamily Level Classification of GPCRs Using Motif Distillation and Distinguishing Power Evaluation. | |
520 | _aThis book constitutes the refereed proceedings of the 7th International Conference on Pattern Recognition in Bioinformatics, PRIB 2012, held in Tokyo, Japan, in November 2012. The 24 revised full papers presented were carefully reviewed and selected from 33 submissions. Their topics are widely ranging from fundamental techniques, sequence analysis to biological network analysis. The papers are organized in topical sections on generic methods, visualization, image analysis, and platforms, applications of pattern recognition techniques, protein structure and docking, complex data analysis, and sequence analysis. | ||
650 | 0 | _aComputer science. | |
650 | 0 |
_aMedical records _xData processing. |
|
650 | 0 | _aComputer software. | |
650 | 0 | _aData mining. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aOptical pattern recognition. | |
650 | 0 | _aBioinformatics. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aComputational Biology/Bioinformatics. |
650 | 2 | 4 | _aHealth Informatics. |
650 | 2 | 4 | _aPattern Recognition. |
650 | 2 | 4 | _aData Mining and Knowledge Discovery. |
650 | 2 | 4 | _aAlgorithm Analysis and Problem Complexity. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
700 | 1 |
_aShibuya, Tetsuo. _eeditor. |
|
700 | 1 |
_aKashima, Hisashi. _eeditor. |
|
700 | 1 |
_aSese, Jun. _eeditor. |
|
700 | 1 |
_aAhmad, Shandar. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642341229 |
786 | _dSpringer | ||
830 | 0 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v7632 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-34123-6 |
942 |
_2EBK10563 _cEBK |
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999 |
_c39857 _d39857 |