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020 _a9783030202422
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024 7 _a10.1007/978-3-030-20242-2
_2doi
050 4 _aQH324.2-324.25
072 7 _aPS
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082 0 4 _a570.285
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082 0 4 _a570.113
_223
245 1 0 _aBioinformatics Research and Applications
_h[electronic resource] :
_b15th International Symposium, ISBRA 2019, Barcelona, Spain, June 3–6, 2019, Proceedings /
_cedited by Zhipeng Cai, Pavel Skums, Min Li.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aXIII, 272 p. 97 illus., 51 illus. in color.
_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 ;
_v11490
505 0 _aGenome analysis -- Systems biology -- Computational proteomics -- Machine and deep learning -- Data analysis and methodology.
520 _aThis book constitutes the proceedings of the 15th International Symposium on Bioinformatics Research and Applications, ISBRA 2019, held in Barcelona, Spain, in June 2019. The 22 full papers presented in this book were carefully reviewed and selected from 95 submissions. They were organized in topical sections named: genome analysis; systems biology; computational proteomics; machine and deep learning; and data analysis and methodology.
650 0 _aBioinformatics.
650 0 _aMachine theory.
650 0 _aNatural language processing (Computer science).
650 0 _aMachine learning.
650 1 4 _aComputational and Systems Biology.
650 2 4 _aFormal Languages and Automata Theory.
650 2 4 _aNatural Language Processing (NLP).
650 2 4 _aMachine Learning.
700 1 _aCai, Zhipeng.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSkums, Pavel.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLi, Min.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030202415
776 0 8 _iPrinted edition:
_z9783030202439
830 0 _aLecture Notes in Bioinformatics,
_x2366-6331 ;
_v11490
856 4 0 _uhttps://doi.org/10.1007/978-3-030-20242-2
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912 _aZDB-2-SXCS
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