Since the outbreak of the coronavirus disease 2019 (COVID-19) pandemic, a lot of efforts have been made in the field of data science to help combat against this disease. Among them, forecasting the number of cases of infection is a crucial problem to predict the dev...
Here the X is in the power of n relation with the Y. If we have created a dataset from this equation and plotted the data in logarithmic scale, then the line should be straight. Example 1 – Plotting a Log-Log Graph of Weekly Covid-19 Cases in Louisiana in Excel Steps Prepare the ...
To minimize the spread and fear of COVID-19, the South Korean government disclosed detailed location-based information about confirmed cases. Information r... Jeongmin Ko 被引量: 0发表: 2024年 Increased Trend of Adenovirus Activity After the COVID-19 Pandemic in South Korea: Analysis of Nation...
machine learning models for predicting local COVID-19 cases in Germany. Results and implications: the novel approach introduced enables the use of a richer collection of data types, including mobility flows and colocation probabilities, and yields the lowest mean squared error scores throughout the o...
This method has been well applied in the aforementioned cases of baricitinib and melatonin against COVID-19, where the target genes of the disease have already been intensively identified. However, this is not the case in general, where a drug’s MoA needs to be inferred and this inferred ...
Frontotemporal Dementia(FTD) DNA methylation dataset 150 cases and 150 healthy controls, from Li Y.et al., 2014 (GEO accession:GSE53740). [**] COVID-19RNA-seq dataset of 46 critical and 23 non-critical COVID-19 cases in young patients, from Carapito R.et al., 2022 (GEO accession:...
Fig. 1: Schematic of GRAPE, Ensmallen and Embiggen. a, High-level structure of the GRAPE software resource. b, Pipelines for an easy, fair, and reproducible comparison of graph-embedding techniques, graph-processing methods, and libraries. c, Visualization of the KGCOVID19 graph53, obtained ...
Tame the rising costs of payments fraud in financial services with a graph database. Improve credit and regulatory data risk assessment with TigerGraph.
Breast cancer is the most prevalent kind of cancer among women and there is a need for a reliable algorithm to predict its prognosis. Previous studies focused on using gene expression data to build predictive models. However, recent advancements have made multi-omics cancer data sets (gene expres...
In this study, we present the EEG-GCN, a novel hybrid model for the prediction of time series data, adept at addressing the inherent challenges posed by the data's complex, non-linear, and periodic nature, as well as the noise that frequently accompanies