Comparative analysis of continuous similarity measures for compound identification in mass spectrometry-based metabolomics [0.03%]
基于质谱代谢组学中化合物识别的连续相似性度量的比较分析
Hunter Dlugas,Xiang Zhang,Seongho Kim
Hunter Dlugas
In mass spectrometry (MS)-based metabolomics, the most straightforward and efficient approach for compound identification is the comparison of similarity scores between experimental spectra and reference spectra. Among various single and co...
ShinyMetID: An R shiny package for metabolite identification by mass spectral matching [0.03%]
ShinyMetID：一种基于质谱匹配的代谢物鉴定R shiny工具包
Youngjae Oh,Shinjune Kim,Seongho Kim et al.
Youngjae Oh et al.
We present metabolite identification software in the form of R Shiny. Metabolite identification by mass spectral matching in gas chromatography (GC-MS)-based untargeted metabolomics can be done by using the easy-to-use software. Various sim...
COVID-19 diagnosis utilizing wavelet-based contrastive learning with chest CT images [0.03%]
基于小波的对比学习在胸部CT图像上的新冠肺炎诊断方法研究
Yanfu Wu,Qun Dai,Han Lu
Yanfu Wu
The pandemic caused by the coronavirus disease 2019 (COVID-19) has continuously wreaked havoc on human health. Computer-aided diagnosis (CAD) system based on chest computed tomography (CT) has been a hotspot option for COVID-19 diagnosis. H...
RADIC:A tool for diagnosing COVID-19 from chest CT and X-ray scans using deep learning and quad-radiomics [0.03%]
RADIC：一种使用深度学习和四重放射组学诊断COVID-19的工具
Omneya Attallah
Omneya Attallah
Deep learning (DL) algorithms have demonstrated a high ability to perform speedy and accurate COVID-19 diagnosis utilizing computed tomography (CT) and X-Ray scans. The spatial information in these images was used to train DL models in the ...
A robust semantic lung segmentation study for CNN-based COVID-19 diagnosis [0.03%]
一种用于基于CNN的COVID-19诊断的鲁棒语义肺分割方法研究
Muhammet Fatih Aslan
Muhammet Fatih Aslan
This paper aims to diagnose COVID-19 by using Chest X-Ray (CXR) scan images in a deep learning-based system. First of all, COVID-19 Chest X-Ray Dataset is used to segment the lung parts in CXR images semantically. DeepLabV3+ architecture is...
An implementation of a hybrid method based on machine learning to identify biomarkers in the Covid-19 diagnosis using DNA sequences [0.03%]
基于机器学习的混合方法在COVID-19诊断中识别DNA序列生物标志物的实现方案
Bihter Das
Bihter Das
Although some people do not have any chronic disease or are not in the risky age group for Covid-19, they are more vulnerable to the coronavirus. As the reason for this situation, some experts focus on the immune system of the person, while...
A geometric deep learning model for display and prediction of potential drug-virus interactions against SARS-CoV-2 [0.03%]
一种几何深度学习模型用于显示和预测潜在的药物-病毒相互作用以对抗SARS-CoV-2
Bihter Das,Mucahit Kutsal,Resul Das
Bihter Das
Although the coronavirus epidemic spread rapidly with the Omicron variant, it lost its lethality rate with the effect of vaccine and immunity. The hospitalization and intense demand decreased. However, there is no definite information about...
Talha Burak Alakus,Ibrahim Turkoglu
Talha Burak Alakus
Experimental approaches are currently used to determine viral-host interactions, but these approaches are both time-consuming and costly. For these reasons, computational-based approaches are recommended. In this study, using computational-...
Multi-classification deep CNN model for diagnosing COVID-19 using iterative neighborhood component analysis and iterative ReliefF feature selection techniques with X-ray images [0.03%]
基于迭代邻域成分分析和迭代ReliefF特征选择技术的X射线图像COVID-19诊断多分类深度CNN模型
Narin Aslan,Gonca Ozmen Koca,Mehmet Ali Kobat et al.
Narin Aslan et al.
Background: The acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease seriously affected worldwide health. It remains an important worldwide concern as the number of patients infected with this virus and the death...
Classifying COVID-19 based on amino acids encoding with machine learning algorithms [0.03%]
基于机器学习算法的氨基酸编码分类COVID-19
Walaa Alkady,Khaled ElBahnasy,Víctor Leiva et al.
Walaa Alkady et al.
COVID-19 disease causes serious respiratory illnesses. Therefore, accurate identification of the viral infection cycle plays a key role in designing appropriate vaccines. The risk of this disease depends on proteins that interact with human...