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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 PDFThe purpose of the present study was to evaluate and compare the clinical outcomes of two groups of patients subject to bi-cruciate retaining (BCR) or posterior-stabilized (PS) implants. It was hypothesized that patients treated with BCR prostheses would present higher flexion and better clinical and functional results than those treated with PS implants. This prospective study included thirty-two patients treated for primary knee osteoarthritis and assigned to two matched groups for their demographic characteristics and comorbidities.
View Article and Find Full Text PDFMulti-Label Zero-Shot Learning Via Contrastive Label-Based Attention.
Int J Neural Syst
January 2025
Alibaba Cloud, Hangzhou, P. R. China.
Multi-label zero-shot learning (ML-ZSL) strives to recognize all objects in an image, regardless of whether they are present in the training data. Recent methods incorporate an attention mechanism to locate labels in the image and generate class-specific semantic information. However, the attention mechanism built on visual features treats label embeddings equally in the prediction score, leading to severe semantic ambiguity.
View Article and Find Full Text PDFElf autoencoder for unsupervised exploration of flat-band materials using electronic band structure fingerprints.
Commun Phys
January 2025
Department of Physics and Astronomy, the University of Manchester, Manchester, UK.
Two-dimensional materials with flat electronic bands are promising for realising exotic quantum phenomena such as unconventional superconductivity and nontrivial topology. However, exploring their vast chemical space is a significant challenge. Here we introduce elf, an unsupervised convolutional autoencoder that encodes electronic band structure images into fingerprint vectors, enabling the autonomous clustering of materials by electronic properties beyond traditional chemical paradigms.
View Article and Find Full Text PDFEvaluation of liver fibrosis in HCV-infected patients using two-dimensional shear-wave elastography (2D-SWE) before and after antiviral treatment.
J Ultrason
December 2024
Department of General and Pediatric Radiology, Wrocław Medical University, Wrocław, Poland.
Aim: Chronic hepatitis C virus infections can lead to liver fibrosis. Appropriate treatment of chronic hepatitis C may result in significant fibrosis reversal. The best method to assess liver fibrosis is an invasive hepatic biopsy.
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