A novel AI algorithm equips researchers with a powerful new tool to accurately identify individual jaguars, zebras and ...
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Google research shows why AI-generated spam is becoming harder to catch and why content-level quality filters may no longer be enough. Google researchers published a new paper detailing a new way to ...
Abstract: In the field of unsupervised person Re-identification (Re-ID), mainstream methods adopt cluster algorithm to generate pseudo labels for training. Despite the effectiveness, the cluster ...
CellSIUS is an R package enabling the identification and characterization of (rare) cell sub-populations from complex scRNA-seq datasets: it takes as input expression values of N cells grouped into ...
In this issue of Stroke, Egle et al 5 employed a clustering method to classify >15 000 participants from the ARIC study (Atherosclerosis Risk in Communities), aged 45 to 64 years at baseline, ...
Abstract: Clustering is an unsupervised method used to group data points based on their similarity. It has many applications in data mining and preprocessing. Algorithms used for arbitrarily shaped ...
An updated emergency visit classification tool enables managers to make valid inferences about levels of appropriateness of emergency department utilization and healthcare needs within a population.
The input data is preprocessed with the Scanpy package in Python. Starting from the raw gene-cell count matrix, library size normalization is performed to scale the total counts of each cell to be ...
Background: COVID-19 has been quickly spreading, making it a serious public health threat. It is important to identify phenotypes to predict the severity of disease and design an individualized ...
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