In recent years, deep learning (DL)-based approaches have shown initial success in annotating enzyme active sites. For example, Gligorijević et al.18proposed a graph convolutional neural network for protein function prediction based on structures. Although it was not explicitly trained on active ...
Multi-modal deep learning enables efficient and accurate annotation of enzymatic active sitesBINDING sitesLANGUAGE modelsDRUG discoverySTRUCTURAL modelsPROTEIN modelsSYNTHETIC biologyDEEP learningAnnotating active sites in enzymes is crucial for advancing multiple fields including drug discovery, disease research,...
Multi-Modal Deep Learning Enables Ultrafast and Accurate Annotation of Enzymatic Active Sites Web Server We have developed aWebServerfor EasIFA, which allows you to conveniently annotate the active sites of enzymes you are interested in. The workflow is divided into two logical steps:1)You can di...
Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis Article Open access 11 May 2020 Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space Article Open access 17 October 2022 Batch alignment of...
《Systematic comparison of deep-learning based fusion strategies for multi-modal ultrasound in diagnosis of liver cancer》 -2024.10 NEUROCOMPUTING 影响因子7.9 (一)多模态数据构成 研究设计了“病变配对”方法来构建数据集,包括B模式超声、剪切波弹性成像(SWE)和对比增强超声(CEUS)数据,以及临床数据。
本文针对多模态融合问题(Multi-modal),提出一种基于 gate 机制的融合策略,能够自适应的进行多模态信息的融合。作者将该方法用到了物体检测上,其大致流程图如下所示: 如上图所示,作者分别用两路 Network 来提取两个模态的特征。该网络是由标准的 VGG-16 和 8 extra convolutional layers 构成。另外,作者提出新的 ...
We also propose a multi-modal deep-learning-based model that takes different human cues, specifically eye gazes and transcripts of an utterance corpus, into account to predict the conversational addressee from a specific speaker's view in various real-life conversational scenarios. To the best of...
The multi-modal medical images are trained by deep learning method. Then the result of multi-modal neuroimaging diagnosis is combined with the result of clinical neuropsychological diagnosis. The proposed deep learning model provides a comprehensive analysis of patient’s pathology and psychology, ...
BTSbot is a multi-modal convolutional neural network for automating supernova identification and follow-up in the Zwicky Transient Facility (ZTF) Bright Transient Survey (BTS). BTSbot contributed to the first supernova to be fully automatically discovered, confirmed, classified, and shared. (AstroNot...
A: 这篇论文试图解决大型视觉-语言模型(Large Vision-Language Models,简称LVLMs)在处理多模态任务时普遍遇到的问题——对象幻觉(object hallucinations)。对象幻觉是指LVLMs生成的文本响应中包含了输入图像中实际上并不存在的对象。这种现象限制了LVLMs的可靠性和在现实世界任务中的应用性。具体来说,论文的主要贡献...