Bioinformatics Research and Applications  20th International Symposium, ISBRA 2024, Kunming, China, July 19-21, 2024, Proceedings, Part III /  [electronic resource] : 
edited by Wei Peng, Zhipeng Cai, Pavel Skums. 
 - 1st ed. 2024. 
 - XIV, 147 p. 40 illus., 32 illus. in color.  online resource. 
 - Lecture Notes in Bioinformatics,  14956  2366-6331 ; .
 - Lecture Notes in Bioinformatics,  14956 .
<br/><br/>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. 
<br/><br/> This 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. 
<br/><br/><label>ISBN: </label>9789819750870 
<br/><br/><label>Standard No.: </label>10.1007/978-981-97-5087-0  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Bioinformatics.<br/>Artificial intelligence.<br/>Computer engineering.<br/>Computer networks .<br/>Bioinformatics.<br/>Artificial Intelligence.<br/>Computer Engineering and Networks.
<br/><br/><label>LC Class. No.: </label>QH324.2-324.25 
<br/><br/><label>Dewey Class. No.: </label>570.285