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Bioinformatics Research and Applications

20th International Symposium, ISBRA 2024, Kunming, China, July 19-21, 2024, Proceedings, Part III
BuchKartoniert, Paperback
147 Seiten
Englisch
Springererschienen am10.07.20242024
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.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR53,49
BuchKartoniert, Paperback
EUR87,73
BuchKartoniert, Paperback
EUR87,73
E-BookPDF1 - PDF WatermarkE-Book
EUR160,49

Produkt

KlappentextThis 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.
Details
ISBN/GTIN978-981-97-5086-3
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2024
Erscheinungsdatum10.07.2024
Auflage2024
ReiheLecture Notes in Bioinformatics
Seiten147 Seiten
SpracheEnglisch
Gewicht260 g
IllustrationenXIV, 147 p. 40 illus., 32 illus. in color.
Artikel-Nr.56448099

Inhalt/Kritik

Inhaltsverzeichnis
.- 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..- PrSMBoosterï¼Improving 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.mehr

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