LEADER 00909nam0-22002891i-450- 001 990000763310403321 005 20141027094036.0 035 $a000076331 035 $aFED01000076331 035 $a(Aleph)000076331FED01 035 $a000076331 100 $a20020821d1956----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $aa---c---001yy 200 1 $aVenezia e il suo estuario$eguida storico-pratica corredata di una grande pianta della cittą 210 $aRoma$cIstituto Poligrafico dello Stato, Libreria dello Stato$d1956 215 $a972 p., [15] c. di tav. ripieg.$cill.$d19 cm 700 1$aLorenzetti,$bGiulio$f<1886-1951>$037874 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990000763310403321 952 $aN CONS A 65$b4739$fFARBC 952 $aN CONS A 64$b4750$fFARBC 959 $aFARBC 996 $aVenezia e il suo estuario$9321119 997 $aUNINA LEADER 02689nam 22006252 450 001 9910457605203321 005 20151005020622.0 010 $a1-107-16534-2 010 $a0-521-71000-6 010 $a1-280-45875-5 010 $a0-511-80462-8 010 $a0-511-19151-0 010 $a0-511-19069-7 010 $a0-511-31629-1 010 $a0-511-19101-4 035 $a(CKB)1000000000352470 035 $a(EBL)258515 035 $a(OCoLC)171138643 035 $a(SSID)ssj0000132665 035 $a(PQKBManifestationID)11150681 035 $a(PQKBTitleCode)TC0000132665 035 $a(PQKBWorkID)10039866 035 $a(PQKB)11698453 035 $a(UkCbUP)CR9780511804625 035 $a(MiAaPQ)EBC258515 035 $a(Au-PeEL)EBL258515 035 $a(CaPaEBR)ebr10129253 035 $a(CaONFJC)MIL45875 035 $a(OCoLC)76416315 035 $a(EXLCZ)991000000000352470 100 $a20141103d2006|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCritical lessons $ewhat our schools should teach /$fNel Noddings$b[electronic resource] 210 1$aCambridge :$cCambridge University Press,$d2006. 215 $a1 online resource (vii, 319 pages) $cdigital, PDF file(s) 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a0-511-19187-1 311 $a0-521-85188-2 320 $aIncludes bibliographical references (p. 291-306) and index. 327 $tLearning and self-understanding --$tThe psychology of war --$tHouse and home --$tOther people --$tParenting --$tAnimals and nature --$tAdvertising and propaganda --$tMaking a living --$tGender --$tReligion --$tPreparing our schools. 330 $aCritical Lessons concentrates on the critical, reflective thinking that should be taught in high schools. Taking seriously the Socratic advice, 'know thyself', it focuses on topics that will help students to understand the forces - good and bad - that work to socialize them. This book argues why critical thinking is necessary in schools because it requires the discussion of critical issues: how we learn, the psychology of war, what it means to make a home, advertising and propaganda, choosing an occupation, gender, and religion. 606 $aCritical thinking$xStudy and teaching (Secondary) 615 0$aCritical thinking$xStudy and teaching (Secondary) 676 $a373.1102 700 $aNoddings$b Nel$0915780 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910457605203321 996 $aCritical lessons$92489795 997 $aUNINA LEADER 05400nam 22006614a 450 001 9910143713103321 005 20170809164709.0 010 $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. 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