[This corrects the article DOI: 10.1371/journal.pone.0248511.].
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11081266 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0303765 | PLOS |
Proteomics
December 2024
Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
Advances in high-throughput omics technologies have enabled system-wide characterization of biological samples across multiple molecular levels, such as the genome, transcriptome, and proteome. However, as sample sizes rapidly increase in large-scale multi-omics studies, sample mix-ups have become a prevalent issue, compromising data integrity and leading to erroneous conclusions. The interconnected nature of multi-omics data presents an opportunity to identify and correct these errors.
View Article and Find Full Text PDFJ Appl Stat
April 2024
Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA.
Neurophotonics
October 2024
University of Macau, Institute of Collaborative Innovation, Center for Cognitive and Brain Sciences, Taipa, Macau S.A.R., China.
Comput Methods Programs Biomed
September 2024
University of Groningen, University Medical Center Groningen, Department of Neurology, 9713 GZ Groningen, the Netherlands.
Background: Synchronous acquisition of haemodynamic signals is crucial for their multimodal analysis, such as dynamic cerebral autoregulation (DCA) analysis of arterial blood pressure (ABP) and transcranial Doppler (TCD)-derived cerebral blood velocity (CBv). Several technical problems can, however, lead to (varying) time-shifts between the different signals. These can be difficult to recognise and can strongly influence the multimodal analysis results.
View Article and Find Full Text PDFBMC Res Notes
June 2024
Department of Clinical Pharmacy, School of Pharmacy, Shahid Beheshti University of Medical Sciences, 3rd floor of the school of pharmacy, 2660th Valiasr Street, Niyayesh junction, Tehran, 1996835113, Iran.
Purpose: This study aimed to evaluate the knowledge, attitude, and practice toward iron chelating agents (ICAs) in Iranian thalassemia major patients.
Methods: A total of 101 patients with thalassemia major were involved in this cross-sectional survey. A deep medication review was done, and participants' knowledge, attitude, and practice were evaluated by a validated instrument based on a 20-scoring system.
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