LEADER 00989nam0-22003011i-450- 001 990003012050403321 005 20050503125936.0 035 $a000301205 035 $aFED01000301205 035 $a(Aleph)000301205FED01 035 $a000301205 100 $a20030910d1968----km-y0itay50------ba 101 0 $aeng 102 $aUS 200 1 $a<>approach to a price theory for a changing economy$fby Moses Abramovitz 210 $aNew York$cAMS press$d1968 215 $a158 p.$cdiagrs.$d23 cm 225 1 $aStudies in history, economics and public law$v453 305 $a"Reprinted with the permission of Columbia University press from the ed. of 1939, New York" - Verso del frontespizio 610 0 $aPrezzi 700 1$aAbramovitz,$bMoses$0118633 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990003012050403321 952 $aI/2.1 ABR$b042261$fSES 959 $aSES 996 $aApproach to a price theory for a changing economy$9467984 997 $aUNINA LEADER 00855nam0-2200325---450- 001 990008424430403321 005 20061122130046.0 010 $a0-340-81405-5 035 $a000842443 035 $aFED01000842443 035 $a(Aleph)000842443FED01 035 $a000842443 100 $a20061122d2004----km-y0itay50------ba 101 0 $aeng 102 $aGB 105 $a--------001yy 200 1 $aBayesan statistics$ean introduction$fPeter M. Lee 205 $a3rd ed. 210 $aLondon$cArnold$d2004 215 $aXV, 351 p.$cill.$d24 cm 610 0 $aStatistica bayesiana 676 $a519.5'42 700 1$aLee,$bPeter M.$0102003 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990008424430403321 952 $a10 B II 814$bDIEL 3441$fDINEL 959 $aDINEL 996 $aBayesan statistics$9727308 997 $aUNINA LEADER 05367nam 22006494a 450 001 9910830512303321 005 20230617040555.0 010 $a1-280-27600-2 010 $a9786610276004 010 $a0-470-09441-9 010 $a0-470-09440-0 035 $a(CKB)1000000000356520 035 $a(EBL)232706 035 $a(OCoLC)475938819 035 $a(SSID)ssj0000134956 035 $a(PQKBManifestationID)11134125 035 $a(PQKBTitleCode)TC0000134956 035 $a(PQKBWorkID)10057687 035 $a(PQKB)10619173 035 $a(MiAaPQ)EBC232706 035 $a(EXLCZ)991000000000356520 100 $a20050310d2005 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aData analysis and visualization in genomics and proteomics$b[electronic resource] /$feditors, Francisco Azuaje and Joaqui?n Dopazo 210 $aHoboken, NJ $cJohn Wiley$dc2005 215 $a1 online resource (285 p.) 300 $aDescription based upon print version of record. 311 $a0-470-09439-7 320 $aIncludes bibliographical references and index. 327 $aData Analysis and Visualization in Genomics and Proteomics; Contents; Preface; List of Contributors; SECTION I INTRODUCTION - DATA DIVERSITY AND INTEGRATION; 1 Integrative Data Analysis and Visualization: Introduction to Critical Problems, Goals and Challenges; 1.1 Data Analysis and Visualization: An Integrative Approach; 1.2 Critical Design and Implementation Factors; 1.3 Overview of Contributions; References; 2 Biological Databases: Infrastructure, Content and Integration; 2.1 Introduction; 2.2 Data Integration; 2.3 Review of Molecular Biology Databases; 2.4 Conclusion; References 327 $a3 Data and Predictive Model Integration: an Overview of Key Concepts, Problems and Solutions3.1 Integrative Data Analysis and Visualization: Motivation and Approaches; 3.2 Integrating Informational Views and Complexity for Understanding Function; 3.3 Integrating Data Analysis Techniques for Supporting Functional Analysis; 3.4 Final Remarks; References; SECTION II INTEGRATIVE DATA MINING AND VISUALIZATION - EMPHASIS ON COMBINATION OF MULTIPLE DATA TYPES; 4 Applications of Text Mining in Molecular Biology, from Name Recognition to Protein Interaction Maps; 4.1 Introduction 327 $a4.2 Introduction to Text Mining and NLP4.3 Databases and Resources for Biomedical Text Mining; 4.4 Text Mining and Protein-Protein Interactions; 4.5 Other Text-Mining Applications in Genomics; 4.6 The Future of NLP in Biomedicine; Acknowledgements; References; 5 Protein Interaction Prediction by Integrating Genomic Features and Protein Interaction Network Analysis; 5.1 Introduction; 5.2 Genomic Features in Protein Interaction Predictions; 5.3 Machine Learning on Protein-Protein Interactions; 5.4 The Missing Value Problem; 5.5 Network Analysis of Protein Interactions; 5.6 Discussion 327 $aReferences6 Integration of Genomic and Phenotypic Data; 6.1 Phenotype; 6.2 Forward Genetics and QTL Analysis; 6.3 Reverse Genetics; 6.4 Prediction of Phenotype from Other Sources of Data; 6.5 Integrating Phenotype Data with Systems Biology; 6.6 Integration of Phenotype Data in Databases; 6.7 Conclusions; References; 7 Ontologies and Functional Genomics; 7.1 Information Mining in Genome-Wide Functional Analysis; 7.2 Sources of Information: Free Text Versus Curated Repositories; 7.3 Bio-Ontologies and the Gene Ontology in Functional Genomics 327 $a7.4 Using GO to Translate the Results of Functional Genomic Experiments into Biological Knowledge7.5 Statistical Approaches to Test Significant Biological Differences; 7.6 Using FatiGO to Find Significant Functional Associations in Clusters of Genes; 7.7 Other Tools; 7.8 Examples of Functional Analysis of Clusters of Genes; 7.9 Future Prospects; References; 8 The C. elegans Interactome: its Generation and Visualization; 8.1 Introduction; 8.2 The ORFeome: the first step toward the interactome of C. elegans 327 $a8.3 Large-Scale High-Throughput Yeast Two-Hybrid Screens to Map the C. elegans Protein-Protein Interaction (Interactome) Network: Technical Aspects 330 $aData Analysis and Visualization in Genomics and Proteomics is the first book addressing integrative data analysis and visualization in this field. It addresses important techniques for the interpretation of data originating from multiple sources, encoded in different formats or protocols, and processed by multiple systems. One of the first systematic overviews of the problem of biological data integration using computational approachesThis book provides scientists and students with the basis for the development and application of integrative computational met 606 $aGenomics$xData processing 606 $aProteomics$xData processing 606 $aData mining 615 0$aGenomics$xData processing. 615 0$aProteomics$xData processing. 615 0$aData mining. 676 $a372.860285 676 $a572.8/6 701 $aAzuaje$b Francisco$0314953 701 $aDopazo$b Joaqui?n$01628720 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830512303321 996 $aData analysis and visualization in genomics and proteomics$93966000 997 $aUNINA LEADER 01869nam 22004693a 450 001 9910427722103321 005 20250203232517.0 024 8 $ahttps://doi.org/10.6093/978-88-6887-085-0 035 $a(CKB)4100000011679278 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/47640.2 035 $a(ScCtBLL)2d587ad4-a4e1-4970-af1c-6b9701251d71 035 $a(Perlego)2327318 035 $a(EXLCZ)994100000011679278 100 $a20250203i20202021 uu 101 0 $aita 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 03$aLa filosofia della cultura : $eGenesi e prospettive /$fRiccardo De Biase, Giovanni Morrone$hVolume 9 210 1$a[s.l.] :$cFedOA - Federico II University Press,$d2020. 215 $a1 electronic resource (264 p.) 225 1 $aKrinein. Studi cassireriani 311 08$a9788868870850 311 08$a8868870851 330 $aQuesto volume raccoglie i contributi che studiosi della pių ampia estrazione, italiani e stranieri, hanno dedicato a un tema fondamentale per i nostri tempi. L'oggetto "cultura", tema centrale pure della filosofia cassireriana, č letto, analizzato e proposto come nodo problematico ma gravido di spunti fecondi e attuali, da plurime prospettive teoriche e ambiti disciplinari diversificati. 410 $aKrinein. Studi cassireriani 606 $axxxx$2bicssc 610 $aCultural Pragmatics 610 $aHistoricity 610 $aCulture 610 $aPhilosophical Anthropology 610 $aantropologia filosofica/ philosophy of Culture 615 7$axxxx 700 $aDe Biase$b Riccardo$0326688 702 $aMorrone$b Giovanni 801 0$bScCtBLL 801 1$bScCtBLL 906 $aBOOK 912 $a9910427722103321 996 $aLa filosofia della cultura$94318972 997 $aUNINA