dPrecision Oncology Center, School of Medicine, Universidad Mayor, Santiago, Chile eDepartment of Obstetrics, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile fDivision of ...
Principal component analysis (PCA) integrates multiple clinical indicators into a single score, providing a holistic assessment. Existing clinical indicators often fail to fully reflect health ...
In this tutorial, we build a complete pipeline for single-cell RNA sequencing analysis using Scanpy. We start by installing the required libraries and loading the PBMC 3k dataset, then perform quality ...
ABSTRACT: The N’Guérédonké deposit, Faranah Province (Republic of Guinea), is part of the Leonian-Liberian crystalline shield, consisting of Archean granitoids and greenstone formations with a ...
(a) Scree plot. (b) Loading plot. (c) Dendrogram. (d) Score plot of observations across study areas. Through principal component and cluster analysis, the team examined data from topography, climate, ...
Abstract: In this work, the possibility of applying machine learning (ML) techniques to analyze and predict radio wave propagation losses in urban environments is explored. Thus, from a measurement ...
Polycystic ovary syndrome (PCOS) is a common, but clinically heterogeneous, condition. This study explores PCOS subtypes using two orthogonal statistical analyses of biochemical and anthropometric ...
T-cell receptor (TCR) sequencing has emerged as a powerful tool for understanding adaptive immune responses, yet challenges persist in deciphering the immense diversity of Complementarity-Determining ...
High-quality hydrometeor microphysical observations are essential for accurate precipitation estimates and for evaluating weather and climate models. However, analyzing these properties is challenging ...
Abstract: Cloud cover in optical remote sensing images poses a major challenge for accurate land surface analysis. This study presents an improved cloud detection and removal methodology that combines ...
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