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[null,"1.","Record Nr.",null,"UNINA9910371760303321"]
[null,null,"Titolo",null,"Enseignement du français : les apports de la recherche en linguistique : réflexions en l'honneur de Marie-José Béguelin / [dirigé par] Mathieu Avanzi [ et al.]"]
[null,null,"Pubbl/distr/stampa",null,"Bruxelles : P.I.E. Peter Lang, [2014]"]
[null,null,"ISBN",null,"9782875741318 (pbk.)"]
[{"$nulls":4},"2875741314 (pbk.)"]
[{"$nulls":4},"9783035264647 (e-book)"]
[null,null,"Descrizione fisica",null,"374 p. : ill. ; 22 cm"]
[null,null,"Collana",null,"GRAMM-R. Études de linguistique française, , 2030-2363 ; 21"]
[null,null,"Disciplina",null,"440.7"]
[null,null,"Locazione",null,"FLFBC"]
[null,null,"Collocazione",null,"440.7 BEG 1"]
[null,null,"Lingua di pubblicazione",null,"Francese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910784810403321"]
[null,null,"Autore",null,"Raychaudhuri Soumya"]
[null,null,"Titolo",null,"Computational text analysis for functional genomics and bioinformatics [[electronic resource] /] / Soumya Raychaudhuri"]
[null,null,"Pubbl/distr/stampa",null,"Oxford, : Oxford University Press, 2006"]
[null,null,"ISBN",null,"0-19-191670-6"]
[{"$nulls":4},"1-280-96507-X"]
[{"$nulls":4},"9786610965076"]
[{"$nulls":4},"0-19-151377-6"]
[{"$nulls":4},"1-4294-7040-2"]
[null,null,"Descrizione fisica",null,"1 online resource (325 p.)"]
[null,null,"Collana",null,"Oxford scholarship online"]
[null,null,"Disciplina",null,"572.86"]
[null,null,"Soggetti",null,"Bioinformatics"]
[{"$nulls":4},"Computational biology"]
[{"$nulls":4},"Genomics - Data processing"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Previously issued in print: 2006."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Contents; List of Figures; List of Plates; List of Tables; 1 An introduction to text analysis in genomics; 2 Functional genomics; 3 Textual profiles of genes; 4 Using text in sequence analysis; 5 Text-based analysis of a single series of gene expression measurements; 6 Analyzing groups of genes; 7 Analyzing large gene expression data sets; 8 Using text classification for gene function annotation; 9 Finding gene names; 10 Protein interaction networks; 11 Conclusion; Index"]
[null,null,null,"Sommario/riassunto","This work brings together the two disparate worlds of computational text analysis and biology with careful and thorough examples on real genomics data."]