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_aBioinformatics Research and Applications _h[electronic resource] : _b20th International Symposium, ISBRA 2024, Kunming, China, July 19-21, 2024, Proceedings, Part II / _cedited by Wei Peng, Zhipeng Cai, Pavel Skums. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2024. |
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_aXVI, 501 p. 148 illus., 137 illus. in color. _bonline resource. |
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_aLecture Notes in Bioinformatics, _x2366-6331 ; _v14955 |
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| 505 | 0 | _a -- 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 | _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. | ||
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_aBioinformatics. _99561 |
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_aArtificial intelligence. _93407 |
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_aComputer engineering. _910164 |
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_aComputer networks . _931572 |
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_aComputer Engineering and Networks. _9105541 |
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_aPeng, Wei. _eeditor. _0(orcid) _10000-0002-9572-951X _4edt _4http://id.loc.gov/vocabulary/relators/edt _9105542 |
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_aCai, Zhipeng. _eeditor. _0(orcid) _10000-0001-6017-975X _4edt _4http://id.loc.gov/vocabulary/relators/edt _9105543 |
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_aSkums, Pavel. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9105544 |
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