Bioinformatics Research and Applications: 20th International Symposium, ISBRA 2024, Kunming, China, July 19–21, 2024, Proceedings, Part III: Lecture Notes in Computer Science, cartea 14956
Editat de Wei Peng, Zhipeng Cai, Pavel Skumsen Limba Engleză Paperback – 10 iul 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.
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Specificații
ISBN-13: 9789819750863
ISBN-10: 9819750865
Pagini: 147
Ilustrații: XIV, 147 p. 40 illus., 32 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.25 kg
Ediția:2024
Editura: Springer Nature Singapore
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Bioinformatics
Locul publicării:Singapore, Singapore
ISBN-10: 9819750865
Pagini: 147
Ilustrații: XIV, 147 p. 40 illus., 32 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.25 kg
Ediția:2024
Editura: Springer Nature Singapore
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Bioinformatics
Locul publicării:Singapore, Singapore
Cuprins
.- 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.
.- 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.