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| http://dx.doi.org/10.1016/j.xjtc.2023.02.003 | DOI Listing |
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Complex hierarchical structures analysis in single-cell data with Poincaré deep manifold transformation.
Brief Bioinform
November 2024
School of Engineering, Westlake University, No. 600 Dunyu Road, 310030 Zhejiang, P.R. China.
Single-cell RNA sequencing (scRNA-seq) offers remarkable insights into cellular development and differentiation by capturing the gene expression profiles of individual cells. The role of dimensionality reduction and visualization in the interpretation of scRNA-seq data has gained widely acceptance. However, current methods face several challenges, including incomplete structure-preserving strategies and high distortion in embeddings, which fail to effectively model complex cell trajectories with multiple branches.
View Article and Find Full Text PDFSubtilosin A production is influenced by surfactin levels in .
Microlife
January 2025
DTU Bioengineering, Technical University of Denmark, 2800 Kgs Lyngby, Denmark.
Although not essential for their growth, the production of secondary metabolites increases the fitness of the producing microorganisms in their natural habitat by enhancing establishment, competition, and nutrient acquisition. The Gram-positive soil-dwelling bacterium, , produces a variety of secondary metabolites. Here, we investigated the regulatory relationship between the non-ribosomal peptide surfactin and the sactipeptide bacteriocin subtilosin A.
View Article and Find Full Text PDFMultisensory naturalistic decoding with high-density diffuse optical tomography.
Neurophotonics
January 2025
Washington University School of Medicine, Mallinckrodt Institute of Radiology, St. Louis, Missouri, United States.
Significance: Decoding naturalistic content from brain activity has important neuroscience and clinical implications. Information about visual scenes and intelligible speech has been decoded from cortical activity using functional magnetic resonance imaging (fMRI) and electrocorticography, but widespread applications are limited by the logistics of these technologies.
Aim: High-density diffuse optical tomography (HD-DOT) offers image quality approaching that of fMRI but with the silent, open scanning environment afforded by optical methods, thus opening the door to more naturalistic research and applications.
Impaired Visuospatial Processing in Cerebral Visual Impairment Revealed by Performance on a Conjunction Visual Search Task.
Br J Vis Impair
September 2024
The Laboratory for Visual Neuroplasticity, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, USA.
Cerebral visual impairment (CVI) is a brain-based visual disorder associated with injury and/or maldevelopment of central visual pathways. Visuospatial processing impairments are a cardinal feature of the complex clinical profile of individuals with CVI. Here, we assessed visuospatial processing abilities using a classic conjunction search task.
View Article and Find Full Text PDFAdvancing precision agriculture with deep learning enhanced SIS-YOLOv8 for Solanaceae crop monitoring.
Front Plant Sci
January 2025
College of Information Technology, Jilin Agricultural University, Changchun, China.
Introduction: Potatoes and tomatoes are important Solanaceae crops that require effective disease monitoring for optimal agricultural production. Traditional disease monitoring methods rely on manual visual inspection, which is inefficient and prone to subjective bias. The application of deep learning in image recognition has led to object detection models such as YOLO (You Only Look Once), which have shown high efficiency in disease identification.
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