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HemaScope: A Tool for Analyzing Single-cell and Spatial Transcriptomics Data of Hematopoietic Cells.
Genomics Proteomics Bioinformatics
January 2025
Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Research Unit of Hematologic Malignancies Genomics and Translational Research of Chinese Academy of Medical Sciences, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) techniques hold great value in evaluating the heterogeneity and spatial characteristics of hematopoietic cells within tissues. These two techniques are highly complementary, with scRNA-seq offering single-cell resolution and ST retaining spatial information. However, there is an urgent demand for well-organized and user-friendly toolkits capable of handling single-cell and spatial information.
View Article and Find Full Text PDFEvaluation of Patients' Satisfaction with Healthcare Services Provided at the National Health Insurance Authority Clinic of a Tertiary Hospital in South-West, Nigeria.
West Afr J Med
September 2024
Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Background: Patient satisfaction is an essential indicator used for measuring the quality of health care delivered to a patient and contributes to strategies for the improvement of healthcare delivery. This study assessed patients' satisfaction with the quality of care at the National Health Insurance Authority (NHIA) clinic in a tertiary health facility.
Methods: The study was a descriptive cross-sectional design with 320 respondents who completed a semi-structured questionnaire.
The optimal annual case volume for acute type A aortic dissection surgery in relation to long-term outcomes.
Eur J Cardiothorac Surg
January 2025
Department of Cardiothoracic Surgery, Maastricht University Medical Centre (MUMC+), Netherlands.
Objectives: Previous analyses of the volume-outcome relationship have focused on short-term outcomes such as early mortality. The current study aims to update a novel statistical methodology, facilitating the evaluation of the relation between procedural volume and time-to-event outcomes such as long-term survival, using surgery for acute type A aortic dissection as an illustrative example.
Methods: This study employed an existing dataset of type A dissection outcomes, retrieved from literature.
MetAssimulo 2.0: a web app for simulating realistic 1D & 2D Metabolomic 1H NMR spectra.
Bioinformatics
January 2025
Section of Bioinformatics, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, W12 0NN, United Kingdom.
Unlabelled: Metabolomics extensively utilizes Nuclear Magnetic Resonance (NMR) spectroscopy due to its excellent reproducibility and high throughput. Both one-dimensional (1D) and two-dimensional (2D) NMR spectra provide crucial information for metabolite annotation and quantification, yet present complex overlapping patterns which may require sophisticated machine learning algorithms to decipher. Unfortunately, the limited availability of labeled spectra can hamper application of machine learning, especially deep learning algorithms which require large amounts of labelled data.
View Article and Find Full Text PDFdoubletrouble: an R/Bioconductor package for the identification, classification, and analysis of gene and genome duplications.
Bioinformatics
January 2025
Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, 9052, Belgium.
Summary: Gene and genome duplications are major evolutionary forces that shape the diversity and complexity of life. However, different duplication modes have distinct impacts on gene function, expression, and regulation. Existing tools for identifying and classifying duplicated genes are either outdated or not user-friendly.
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