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Bioinformatics Research and Applications

E-BookPDF1 - PDF WatermarkE-Book
501 Seiten
Englisch
Springer Nature Singaporeerschienen am11.07.20242024
Verfügbare Formate
BuchKartoniert, Paperback
EUR87,73
E-BookPDF1 - PDF WatermarkE-Book
EUR160,49
E-BookPDF1 - PDF WatermarkE-Book
EUR106,99
E-BookPDF1 - PDF WatermarkE-Book
EUR160,49

Produkt

Details
Weitere ISBN/GTIN9789819751310
ProduktartE-Book
EinbandartE-Book
FormatPDF
Format Hinweis1 - PDF Watermark
FormatE107
Erscheinungsjahr2024
Erscheinungsdatum11.07.2024
Auflage2024
ReiheLecture Notes in Bioinformatics
Seiten501 Seiten
SpracheEnglisch
Dateigrösse45226 Kbytes
IllustrationenXVI, 501 p. 148 illus., 137 illus. in color.
Artikel-Nr.17104647
Rubriken
Genre9200

Inhalt/Kritik

Inhaltsverzeichnis
.- 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.mehr

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