AIMC Topic: Single-Cell Analysis
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Semi-supervised contrastive learning variational autoencoder Integrating single-cell multimodal mosaic datasets.
BMC bioinformatics
Aug 4, 2025
As single-cell sequencing technology became widely used, scientists found that single-modality data alone could not fully meet the research needs of complex biological systems. To address this issue, researchers began simultaneously collect multi-mod...
Identification of prognostic genes related to T cell proliferation in papillary thyroid cancer based on single-cell RNA sequencing and bulk RNA sequencing data.
Clinical and experimental medicine
Aug 2, 2025
Papillary thyroid carcinoma (PTC) is the main pathological subtype of thyroid cancer. Given the strong association between T cells and PTC, this study focused on the prognostic value and potential molecular mechanisms of T cell proliferation-related ...
A lipid metabolism-related gene signature predicts prognosis after tamoxifen treatment in ER + breast cancer and reflects tumor microenvironment heterogeneity through single-cell analysis.
BMC medical genomics
Jul 31, 2025
BACKGROUND: Although the clinical outcome of ER + breast cancer patients receiving tamoxifen after surgery is favorable, a proportion of patients experience recurrence or death due to disease progression.
CanCellCap: robust cancer cell capture across tissue types on single-cell RNA-seq data by multi-domain learning.
BMC biology
Jul 30, 2025
BACKGROUND: The advent of single-cell RNA sequencing (scRNA-seq) has provided unprecedented insights into cancer cellular diversity, enabling a comprehensive understanding of cancer at the single-cell level. However, identifying cancer cells remains ...
CYCLONE: recycle contrastive learning for integrating single-cell gene expression data.
BMC bioinformatics
Jul 30, 2025
BACKGROUND: Combining single-cell transcriptome sequencing results from several batches reduces batch effect, which improves our understanding of cellular identity and function.
Single-cell image-based screens identify host regulators of Ebola virus infection dynamics.
Nature microbiology
Jul 24, 2025
Filoviruses such as Ebola virus (EBOV) give rise to frequent epidemics with high case fatality rates while therapeutic options remain limited. Earlier genetic screens aimed to identify potential drug targets for EBOV relied on systems that may not fu...
A multi-omic single-cell landscape reveals transcription and epigenetic regulatory features of t(8;21) AML.
Journal of translational medicine
Jul 24, 2025
BACKGROUND: Comprehensive analysis of single-cell transcriptome and chromatin accessibility will contribute to interpret the heterogeneity of acute myeloid leukemia (AML). We hypothesize that integrating single-cell transcriptomic and chromatin acces...
Interpretable machine learning-guided single-cell mapping deciphers multi-lineage pancreatic dysregulation in type 2 diabetes.
Cardiovascular diabetology
Jul 24, 2025
BACKGROUND: Pancreatic cellular heterogeneity is fundamental to systemic metabolic regulation, yet its pathological remodeling in diabetes remains poorly characterized.
Exploring the comorbidity mechanisms of ITGB2 in rheumatoid arthritis and membranous nephropathy through integrated bioinformatics analysis.
Renal failure
Jul 23, 2025
BACKGROUND: Patients with rheumatoid arthritis (RA) are more likely to comorbid renal diseases, with membranous nephropathy (MN) being the most common. This study aimed to explore the common pathogenesis between RA and MN using integrated bioinformat...
Identification of podocyte molecular markers in diabetic kidney disease via single-cell RNA sequencing and machine learning.
PloS one
Jul 21, 2025
Diabetic kidney disease (DKD) is a major cause of end-stage renal disease globally, with podocytes being implicated in its pathogenesis. However, the underlying mechanisms of podocyte involvement remain unclear. The aim of the present study was to id...
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