Bioinformatics Research and Applications (Record no. 88562)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 07060nam a22005895i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-981-97-5131-0 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730172811.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240712s2024 si | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9789819751310 |
| -- | 978-981-97-5131-0 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 570.285 |
| 245 10 - TITLE STATEMENT | |
| Title | Bioinformatics Research and Applications |
| Sub Title | 20th International Symposium, ISBRA 2024, Kunming, China, July 19-21, 2024, Proceedings, Part II / |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2024. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XVI, 501 p. 148 illus., 137 illus. in color. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Lecture Notes in Bioinformatics, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | -- Exploring Hierarchical Structures of Cell Types in scRNA-seq Data. -- Predicting Frequencies of Drug Side Effects Using Graph Attention Networks with Multiple Features. -- RabbitTrim: highly optimized trimming of Illumina sequencing data on multi-core platforms. -- A hybrid feature fusion network for predicting HER2 status on H&E-stained histopathology images. -- scCoRR: a data-driven self-correction framework for labeled scRNA-seq data. -- KT-AMP: Enhancing Antimicrobial Peptide Functions Prediction through Knowledge Transfer on Protein Language Model. -- A Multi-Scale Attention Network for Sleep Arousal Detection with Single-Channel ECG. -- RabbitSAlign: Accelerating Short-Read Alignment for CPU-GPU Heterogeneous Platforms. -- FedKD-DTI: Drug-Target Interaction Prediction Based on Federated Knowledge Distillation. -- Accurately Deciphering Novel Cell Type in Spatially Resolved Single-Cell Data through Optimal Transport. -- Synthesis of Boolean Networks with Weak and Strong Regulators. -- Patch-based coupled attention network to predict MSI status in colon cancer. -- Predicting Blood-Brain Barrier Permeability through Multi-View Graph Neural Network with Global-Attention and Pre-trained Transformer. -- LLMDTA: Improving Cold-Start Prediction in Drug-Target Affinity with Biological LLM. -- DMSDR: Drug Molecule Synergy-Enhanced Network for Drug Recommendation with Multi-Source Domain Knowledge. -- A Graph Transformer-Based Method for Predicting LncRNA-Disease Associations Using Matrix Factorization and Automatic Meta-Path Generation. -- The Dynamic Spatiotemporal Features Based on Rich Club Organization in Autism Spectrum Disorder. -- Integrated Analysis of Autophagy-Related Genes Identifies Diagnostic Biomarkers and Immune Correlates in Preeclampsia. -- Multi-Grained Cross-Modal Feature Fusion Network for Diagnosis Prediction. -- MOL-MOE：Learning Drug Molecular Characterization Based on Mixture of Expert Mechanism. -- A Multimodal Federated Learning Framework for Modality Incomplete Scenarios in Healthcare. -- FunBGC: An Intelligent Framework for Fungal Biosynthetic Gene Cluster Identification. -- An Automatic Recommendation Method for Single-Cell DNA Variant Callers Based on Meta-Learning Framework. -- Incomplete Multimodal Learning with Modality-Aware Feature Interaction for Brain Tumor Segmentation. -- Multi-Scale Mean Teacher for Unsupervised Cross-Modality Abdominal Segmentation with Limited Annotations. -- Subgraph-aware dynamic attention network for drug repositioning. -- Multi-filter based signed graph convolutional networks for predicting interactions on drug networks. -- CPSORCL: A Cooperative Particle Swarm Optimization Method with Random Contrastive Learning for Interactive Feature Selection. -- Hypergraph representation learning for cancer drug response prediction. -- DGCL: a contrastive learning method for predicting cancer driver genes based on graph diffusion. -- KUMA-MI: A 12-Lead Knowledge-guided Multi-branch Attention Networks for Myocardial Infarction Localization. -- scAHVC: Single-cell Multi-omics clustering algorithm based on adaptive weighted hyper-laplacian regularization. -- Early Prediction of SGA-LGA Fetus at the First Trimester Ending through Weighted Voting Ensemble Learning Approach. -- A Hierarchical Classification Model for Annotating Antibacterial Biocide and Metal Resistance Genes via Fusing Global and Local Semantics. -- Secure Relative Detection in (Forensic) Database with Homomorphic Encryption. Noninvasive diagnosis of cancer based on the heterogeneity and fragmentation features of cell-free mitochondrial DNA. -- A Novel Dual Interactive Network for Parkinson's Disease Diagnosis Based on Multi-modality Magnetic Resonance Imaging. -- DVMPDC: A deep learning model based on dual-view representation and multi-strategy pooling for predicting synergistic drug combinations. -- MEMDA: a multi-similarity integration pre-completion algorithm with error correction for predicting microbe-drug associations. -- ResDeepGS:A deep learning-based method for crop phenotype prediction. -- Benchmarking Biomedical Relation Knowledge in Large Language Models. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Peng, Wei. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Cai, Zhipeng. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Skums, Pavel. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1007/978-981-97-5131-0 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Singapore : |
| -- | Springer Nature Singapore : |
| -- | Imprint: Springer, |
| -- | 2024. |
| 336 ## - | |
| -- | text |
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| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
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| 347 ## - | |
| -- | text file |
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| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Bioinformatics. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer engineering. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer networks . |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Bioinformatics. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial Intelligence. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Engineering and Networks. |
| 700 1# - AUTHOR 2 | |
| -- | (orcid) |
| -- | 0000-0002-9572-951X |
| 700 1# - AUTHOR 2 | |
| -- | (orcid) |
| -- | 0000-0001-6017-975X |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 2366-6331 ; |
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