000 | 05036nam a22006855i 4500 | ||
---|---|---|---|
001 | 978-3-319-09192-1 | ||
003 | DE-He213 | ||
005 | 20240730172303.0 | ||
007 | cr nn 008mamaa | ||
008 | 140813s2014 sz | s |||| 0|eng d | ||
020 |
_a9783319091921 _9978-3-319-09192-1 |
||
024 | 7 |
_a10.1007/978-3-319-09192-1 _2doi |
|
050 | 4 | _aQH324.2-324.25 | |
072 | 7 |
_aPS _2bicssc |
|
072 | 7 |
_aUY _2bicssc |
|
072 | 7 |
_aSCI008000 _2bisacsh |
|
072 | 7 |
_aPSAX _2thema |
|
082 | 0 | 4 |
_a570.285 _223 |
082 | 0 | 4 |
_a570.113 _223 |
245 | 1 | 0 |
_aPattern Recognition in Bioinformatics _h[electronic resource] : _b9th IAPR International Conference, PRIB 2014, Stockholm, Sweden, August 21-23, 2014. Proceedings / _cedited by Matteo Comin, Lukas Käll, Elena Marchiori, Alioune Ngom, Jagath Chandana Rajapakse. |
250 | _a1st ed. 2014. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2014. |
|
300 |
_aXII, 135 p. 29 illus. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aLecture Notes in Bioinformatics, _x2366-6331 ; _v8626 |
|
505 | 0 | _aFULL PAPERS -- Acquiring Decision Rules for Predicting Ames-Negative Hepatocarcinogens Using Chemical-Chemical Interactions -- Using Topology Information for Protein-Protein Interaction Prediction -- Biases of drug{target interaction network data -- Logol: Expressive Pattern Matching in sequences Application to Ribosomal Frameshift Modeling -- Evolutionary Algorithm based on New Crossover for the Biclustering of Gene Expression Data -- SFFS-SW: A feature selection algorithm exploring the small-world properties of GNs -- CytomicsDB: A Metadata-based storage and retrieval approach for High-Throughput Screening Experiments -- CUDAGRN: Parallel Speedup of Inferring Large Gene Regulatory -- Networks from Expression Data Using Random Forest -- SHORT ABSTRACTS -- Analysis of miRNA expression profiles in breast cancer using biclustering -- Gram-positive and Gram-negative Subcellular Localization Using Rotation Forest and Physicochemical-based Features -- Data Driven Feature Selection for RNA-Seq Differential Expression Analysis -- Intramuscular fat percentage estimation through ultrasound images -- An integrated approach of gene expression and DNA-methylation profiles of WNT signaling genes uncovers novel prognostic markers in Acute Myeloid Leukemia -- Improving performance of the eXtasy model by hierarchical sampling -- Popovic et al.Ensemble Neural Networks Scoring Functions for Accurate Binding Affinity -- Prediction of Protein-Ligand Complexes -- Integration of Gene Expression and DNA-methylation Profiles Improves Molecular Subtype Classification in Acute Myeloid Leukemia -- The Relative Vertex-to-Vertex Clustering Value- A New Criterion for the Fast Detection of Functional Modules in Protein Interaction Networks. | |
520 | _aThis book constitutes the refereed proceedings of the 8th IAPR International Conference on Pattern Recognition in Bioinformatics, PRIB 2014, held in Stockholm, Sweden in August 2014. The 9 revised full papers and 9 revised short papers presented were carefully reviewed and selected from 29 submissions. The focus of the conference was on the latest Research in Pattern Recognition and Computational Intelligence-Based Techniques Applied to Problems in Bioinformatics and Computational Biology. | ||
650 | 0 |
_aBioinformatics. _99561 |
|
650 | 0 |
_aMedical informatics. _94729 |
|
650 | 0 |
_aPattern recognition systems. _93953 |
|
650 | 0 |
_aData mining. _93907 |
|
650 | 0 |
_aAlgorithms. _93390 |
|
650 | 0 |
_aArtificial intelligence. _93407 |
|
650 | 1 | 4 |
_aComputational and Systems Biology. _931619 |
650 | 2 | 4 |
_aHealth Informatics. _931799 |
650 | 2 | 4 |
_aAutomated Pattern Recognition. _931568 |
650 | 2 | 4 |
_aData Mining and Knowledge Discovery. _9102810 |
650 | 2 | 4 |
_aAlgorithms. _93390 |
650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
700 | 1 |
_aComin, Matteo. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9102812 |
|
700 | 1 |
_aKäll, Lukas. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9102813 |
|
700 | 1 |
_aMarchiori, Elena. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9102815 |
|
700 | 1 |
_aNgom, Alioune. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9102817 |
|
700 | 1 |
_aRajapakse, Jagath Chandana. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9102818 |
|
710 | 2 |
_aSpringerLink (Online service) _9102819 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783319091914 |
776 | 0 | 8 |
_iPrinted edition: _z9783319091938 |
830 | 0 |
_aLecture Notes in Bioinformatics, _x2366-6331 ; _v8626 _9102820 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-09192-1 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
912 | _aZDB-2-LNC | ||
942 | _cELN | ||
999 |
_c88171 _d88171 |