|
|
|
|
| LEADER |
00000nam a22000005i 4500 |
| 001 |
b3291631 |
| 003 |
MWH |
| 005 |
20191028102718.0 |
| 007 |
cr nn 008mamaa |
| 008 |
100914s2010 gw | s |||| 0|eng d |
| 020 |
|
|
|a 9783642160011
|
| 024 |
7 |
|
|a 10.1007/978-3-642-16001-1
|2 doi
|
| 035 |
|
|
|a (DE-He213)978-3-642-16001-1
|
| 050 |
|
4 |
|a E-Book
|
| 072 |
|
7 |
|a PSA
|2 bicssc
|
| 072 |
|
7 |
|a SCI086000
|2 bisacsh
|
| 072 |
|
7 |
|a PSA
|2 thema
|
| 245 |
1 |
0 |
|a Pattern Recognition in Bioinformatics
|h [electronic resource] :
|b 5th IAPR International Conference, PRIB 2010, Nijmegen, The Netherlands, September 22-24, 2010, Proceedings /
|c edited by Tjeerd M.H. Dijkstra, Evgeni Tsivtsivadze, Elena Marchiori, Tom Heskes.
|
| 250 |
|
|
|a 1st ed. 2010.
|
| 264 |
|
1 |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2010.
|
| 300 |
|
|
|a XII, 442 p. 153 illus.
|b online resource.
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 347 |
|
|
|a text file
|b PDF
|2 rda
|
| 490 |
1 |
|
|a Lecture Notes in Bioinformatics ;
|v 6282
|
| 490 |
1 |
|
|a Springer eBook Collection
|
| 505 |
0 |
|
|a Classification of Biological Sequences -- Sequence-Based Prediction of Protein Secretion Success in Aspergillus niger -- Machine Learning Study of DNA Binding by Transcription Factors from the LacI Family -- Joint Loop End Modeling Improves Covariance Model Based Non-coding RNA Gene Search -- Structured Output Prediction of Anti-cancer Drug Activity -- SLiMSearch: A Webserver for Finding Novel Occurrences of Short Linear Motifs in Proteins, Incorporating Sequence Context -- Towards 3D Modeling of Interacting TM Helix Pairs Based on Classification of Helix Pair Sequence -- Optimization Algorithms for Identification and Genotyping of Copy Number Polymorphisms in Human Populations -- Preservation of Statistically Significant Patterns in Multiresolution 0-1 Data -- Novel Machine Learning Methods for MHC Class I Binding Prediction -- Unsupervised Learning Methods for Biological Sequences -- SIMCOMP: A Hybrid Soft Clustering of Metagenome Reads -- The Complexity and Application of Syntactic Pattern Recognition Using Finite Inductive Strings -- An Algorithm to Find All Identical Motifs in Multiple Biological Sequences -- Discovery of Non-induced Patterns from Sequences -- Exploring Homology Using the Concept of Three-State Entropy Vector -- A Maximum-Likelihood Formulation and EM Algorithm for the Protein Multiple Alignment Problem -- Polynomial Supertree Methods Revisited -- Enhancing Graph Database Indexing by Suffix Tree Structure -- Learning Methods for Gene Expression and Mass Spectrometry Data -- Semi-Supervised Graph Embedding Scheme with Active Learning (SSGEAL): Classifying High Dimensional Biomedical Data -- Iterated Local Search for Biclustering of Microarray Data -- Biologically-aware Latent Dirichlet Allocation (BaLDA) for the Classification of Expression Microarray -- Measuring the Quality of Shifting and Scaling Patterns in Biclusters -- Frequent Episode Mining to Support Pattern Analysis in Developmental Biology -- Time Series Gene Expression Data Classification via L 1-norm Temporal SVM -- Bioimaging -- Sub-grid and Spot Detection in DNA Microarray Images Using Optimal Multi-level Thresholding -- Quantification of Cytoskeletal Protein Localization from High-Content Images -- Pattern Recognition for High Throughput Zebrafish Imaging Using Genetic Algorithm Optimization -- Consensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image Analysis -- Semi-supervised Learning of Sparse Linear Models in Mass Spectral Imaging -- Molecular Structure Prediction -- A Matrix Algorithm for RNA Secondary Structure Prediction -- Exploiting Long-Range Dependencies in Protein ?-Sheet Secondary Structure Prediction -- Alpha Helix Prediction Based on Evolutionary Computation -- An On/Off Lattice Approach to Protein Structure Prediction from Contact Maps -- Protein Protein Interaction and Network Inference -- Biological Protein-Protein Interaction Prediction Using Binding Free Energies and Linear Dimensionality Reduction -- Employing Publically Available Biological Expert Knowledge from Protein-Protein Interaction Information -- SFFS-MR: A Floating Search Strategy for GRNs Inference -- Revisiting the Voronoi Description of Protein-Protein Interfaces: Algorithms -- MC4: A Tempering Algorithm for Large-Sample Network Inference -- Flow-Based Bayesian Estimation of Nonlinear Differential Equations for Modeling Biological Networks.
|
| 590 |
|
|
|a Loaded electronically.
|
| 590 |
|
|
|a Electronic access restricted to members of the Holy Cross Community.
|
| 650 |
|
0 |
|a Life sciences.
|
| 650 |
|
0 |
|a Medicine.
|
| 650 |
|
0 |
|a Data mining.
|
| 650 |
|
0 |
|a Bioinformatics.
|
| 650 |
|
0 |
|a Health informatics.
|
| 650 |
|
0 |
|a Pattern recognition.
|
| 690 |
|
|
|a Electronic resources (E-books)
|
| 700 |
1 |
|
|a Dijkstra, Tjeerd M.H.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
| 700 |
1 |
|
|a Tsivtsivadze, Evgeni.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
| 700 |
1 |
|
|a Marchiori, Elena.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
| 700 |
1 |
|
|a Heskes, Tom.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
| 710 |
2 |
|
|a SpringerLink (Online service)
|
| 773 |
0 |
|
|t Springer eBooks
|
| 830 |
|
0 |
|a Lecture Notes in Bioinformatics ;
|v 6282
|
| 830 |
|
0 |
|a Springer eBook Collection.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://doi.org/10.1007/978-3-642-16001-1
|3 Click to view e-book
|t 0
|
| 907 |
|
|
|a .b32916310
|b 04-18-22
|c 02-26-20
|
| 998 |
|
|
|a he
|b 02-26-20
|c m
|d @
|e -
|f eng
|g gw
|h 0
|i 1
|
| 912 |
|
|
|a ZDB-2-SCS
|
| 912 |
|
|
|a ZDB-2-LNC
|
| 950 |
|
|
|a Computer Science (Springer-11645)
|
| 902 |
|
|
|a springer purchased ebooks
|
| 903 |
|
|
|a SEB-COLL
|
| 945 |
|
|
|f - -
|g 1
|h 0
|j - -
|k - -
|l he
|o -
|p $0.00
|q -
|r -
|s b
|t 38
|u 0
|v 0
|w 0
|x 0
|y .i22047931
|z 02-26-20
|
| 999 |
f |
f |
|i e8581c03-f907-5d82-bd59-98bbb1905da8
|s d2a47c89-70f8-507c-9c7b-48ba9fda31aa
|t 0
|
| 952 |
f |
f |
|p Online
|a College of the Holy Cross
|b Main Campus
|c E-Resources
|d Online
|t 0
|e E-Book
|h Library of Congress classification
|i Elec File
|