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Bioinformatics Research and Applications 20th International Symposium, ISBRA 2024, Kunming, China, July 19–21, 2024, Proceedings, Part I

Aus der Reihe Lecture Notes in Computer Science
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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

12.07.2024

Herausgeber

Wei Peng + weitere

Verlag

Springer Singapore

Seitenzahl

511

Maße (L/B/H)

23,5/15,5/2,9 cm

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9751-27-3

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

12.07.2024

Herausgeber

Verlag

Springer Singapore

Seitenzahl

511

Maße (L/B/H)

23,5/15,5/2,9 cm

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9751-27-3

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Bioinformatics Research and Applications
  • Produktbild: Bioinformatics Research and Applications

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    .- Flat and Nested Protein Name Recognition Based on BioBERT and Biaffine Decoder.

    .- RFIR: A Lightweight Network for Retinal Fundus Image Restoration.

    .- Gaussian Beltrami-Klein Model for Protein Sequence Classification: A Hyperbolic Approach.

    .- stEnTrans: Transformer-based deep learning for spatial transcriptomics enhancement.

    .- Contrastive Masked Graph Autoencoders for Spatial Transcriptomics Data Analysis.

    .- Spatial gene expression prediction from histology images with STco.

    .- Exploration and Visualization Methods for Chromatin Interaction Data.

    .- A Geometric Algorithm for Blood Vessel Reconstruction from Skeletal Representation.

    .- UFGOT: unbalanced filter graph alignment with optimal transport for cancer subtyping based on multi-omics data.

    .- Dendritic SE-ResNet Learning for Bioinformatic Classification.

    .- GSDRP: Fusing Drug Sequence Features with Graph Features to Predict Drug Response.

    .- CircMAN: Multi-channel Attention Networks Based on Feature Fusion for CircRNA-binding Site Prediction.

    .- Machine Learning-Driven Discovery of Quadruple-Negative Breast Cancer Subtypes from Gene Expression Data.

    .- A novel Combined Embedding Model based on Heterogeneous Network for Inferring Microbe-Metabolite Interactions.

    .- Central Feature Network Enables Accurate Detection of Both Small and Large Particles in Cryo-Electron Tomography.

    .- LncRNA-disease association prediction based on integrated application of matrix decomposition and graph contrastive learning.

    .- Predictive Score-Guided Mixup for Medical Text Classification.

    .- CHASOS: A novel deep learning approach for chromatin loop predictions.

    .- A deep metric learning based method for predicting miRNA-disease associations.

    .- Learning an adaptive self-expressive fusion model for multi-omics cancer subtype prediction.

    .- IFNet: An Image-Enhanced Cross-Modal Fusion  Network for Radiology Report Generation.

    .- Hybrid Attention Knowledge Fusion Network for Automated Medical Code Assignment.

    .- Variable-length Promoter Strength Prediction based on Graph Convolution.

    .- scMOGAE: A Graph Convolutional Autoencoder-Based Multi-omics Data Integration Framework for Single-Cell Clustering.

    .- VM-UNET-V2: Rethinking Vision Mamba UNet for Medical Image Segmentation.

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