000 04104nam a22005895i 4500
001 978-981-97-5087-0
003 DE-He213
005 20240730172806.0
007 cr nn 008mamaa
008 240712s2024 si | s |||| 0|eng d
020 _a9789819750870
_9978-981-97-5087-0
024 7 _a10.1007/978-981-97-5087-0
_2doi
050 4 _aQH324.2-324.25
072 7 _aUY
_2bicssc
072 7 _aPS
_2bicssc
072 7 _aCOM082000
_2bisacsh
072 7 _aPSAX
_2thema
082 0 4 _a570.285
_223
245 1 0 _aBioinformatics Research and Applications
_h[electronic resource] :
_b20th International Symposium, ISBRA 2024, Kunming, China, July 19-21, 2024, Proceedings, Part III /
_cedited by Wei Peng, Zhipeng Cai, Pavel Skums.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXIV, 147 p. 40 illus., 32 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 ;
_v14956
505 0 _a -- Feddaw: Dual Adaptive Weighted Federated Learning for Non-IID Medical Data. -- LoopNetica: predicting chromatin loops using convolutional neural networks and attention mechanisms. -- Probabilistic and Machine Learning Models for the Protein Scaffold Gap Filling Problem. -- Patient Anticancer Drug Response Prediction based on Single-Cell Deconvolution. -- A Data Set of Paired Structural Segments between Protein Data Bank and AlphaFold DB for Medium-Resolution Cryo-EM Density Maps: A Gap in Overall Structural Quality. -- PmmNDD: Predicting the Pathogenicity of Missense Mutations in Neurodegenerative Diseases via Ensemble Learning. -- Improved Inapproximability Gap and Approximation Algorithm for Scaffold Filling to Maximize Increased Duo-preservations. -- Residual Spatio-Temporal Attention based Prototypical Network for Rare Arrhythmia Classification. -- SEMQuant: Extending Sipros-Ensemble with Match-Between-Runs for comprehensive quantitative metaproteomics. -- PrSMBooster：Improving the Accuracy of Top-down Proteoform Characterization using Deep Learning Rescoring Models. -- FCMEDriver: identifing cancer driver gene by combining mutual exclusivity of embedded features and optimized mutation frequency score.
520 _aThis book constitutes the refereed proceedings of the 20th International Symposium on Bioinformatics Research and Applications, ISBRA 2024, held in Kunming, China, in July 19-21, 2024. The 93 full papers included in this book were carefully reviewed and selected from 236 submissions. The symposium provides a forum for the exchange of ideas and results among researchers, developers, and practitioners working on all aspects of bioinformatics and computational biology and their applications.
650 0 _aBioinformatics.
_99561
650 0 _aArtificial intelligence.
_93407
650 0 _aComputer engineering.
_910164
650 0 _aComputer networks .
_931572
650 1 4 _aBioinformatics.
_99561
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer Engineering and Networks.
_9105515
700 1 _aPeng, Wei.
_eeditor.
_0(orcid)
_10000-0002-9572-951X
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9105517
700 1 _aCai, Zhipeng.
_eeditor.
_0(orcid)
_10000-0001-6017-975X
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9105518
700 1 _aSkums, Pavel.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9105519
710 2 _aSpringerLink (Online service)
_9105521
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819750863
776 0 8 _iPrinted edition:
_z9789819750887
830 0 _aLecture Notes in Bioinformatics,
_x2366-6331 ;
_v14956
_9105523
856 4 0 _uhttps://doi.org/10.1007/978-981-97-5087-0
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cEBK
999 _c88559
_d88559