AIMC Topic: Single-Cell Analysis

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Joint trajectory inference for single-cell genomics using deep learning with a mixture prior.

Proceedings of the National Academy of Sciences of the United States of America Sep 3, 2024
Trajectory inference methods are essential for analyzing the developmental paths of cells in single-cell sequencing datasets. It provides insights into cellular differentiation, transitions, and lineage hierarchies, helping unravel the dynamic proces...
Mice Genomics Sequence Analysis, RNA Animals Deep Learning Single-Cell Analysis Humans
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Deciphering colorectal cancer radioresistance and immune microrenvironment: unraveling the role of EIF5A through single-cell RNA sequencing and machine learning.

Frontiers in immunology Sep 3, 2024
BACKGROUND: Radiotherapy (RT) is a critical component of treatment for locally advanced rectal cancer (LARC), though patient response varies significantly. The variability in treatment outcomes is partly due to the resistance conferred by cancer stem...
Single-Cell Analysis Tumor Microenvironment Radiation Tolerance Mice Eukaryotic Translation Initiation Factor 5A Humans Gene Expression Regulation, Neoplastic RNA-Binding Proteins Peptide Initiation Factors Machine Learning Neoplastic Stem Cells Animals Colorectal Neoplasms Cell Line, Tumor
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Single-cell and whole-transcriptome sequencing of lymph node metastasis-related gene signature: a large-scale pan-cancer cohort, machine learning and experimental study: Retraction.

International journal of surgery (London, England) Sep 1, 2024
Neoplasms Gene Expression Profiling Transcriptome Lymphatic Metastasis Single-Cell Analysis Humans Lymph Nodes Machine Learning
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A commentary on 'Single-cell and bulk RNA-sequence identified fibroblasts signature and CD8 + T cell - fibroblast subtype predicting prognosis and immune therapeutic response of bladder cancer, based on machine-learning'.

International journal of surgery (London, England) Sep 1, 2024
Humans Immunotherapy Urinary Bladder Neoplasms Fibroblasts CD8-Positive T-Lymphocytes Machine Learning Prognosis Single-Cell Analysis
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Identification of cancer stem cell-related genes through single cells and machine learning for predicting prostate cancer prognosis and immunotherapy.

Frontiers in immunology Aug 29, 2024
BACKGROUND: Cancer stem cells (CSCs) are a subset of cells within tumors that possess the unique ability to self-renew and give rise to diverse tumor cells. These cells are crucial in driving tumor metastasis, recurrence, and resistance to treatment....
Prognosis Aged Biomarkers, Tumor Immunotherapy Male Neoplastic Stem Cells Middle Aged Humans Prostatic Neoplasms Gene Expression Regulation, Neoplastic Molecular Docking Simulation Machine Learning Single-Cell Analysis
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Dynamic changes in pyroptosis following spinal cord injury and the identification of crucial molecular signatures through machine learning and single-cell sequencing.

Journal of pharmaceutical and biomedical analysis Aug 26, 2024
The pathological cascade of spinal cord injury (SCI) is highly intricate. The onset of neuroinflammation can exacerbate the extent of damage. Pyroptosis is a form of inflammation-linked programmed cell death (PCD), the inhibition of pyroptosis can pa...
Neuroinflammatory Diseases Microglia Pyroptosis Spinal Cord Disease Models, Animal Mice, Inbred C57BL Cell Line Spinal Cord Injuries Machine Learning Single-Cell Analysis Mice Animals Male
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Identification of gene and protein signatures associated with long-term effects of COVID-19 on the immune system after patient recovery by analyzing single-cell multi-omics data using a machine learning approach.

Vaccine Aug 24, 2024
Viral infections significantly impact the immune system, and impact will persist until recovery. However, the influence of severe acute respiratory syndrome coronavirus 2 infection on the homeostatic immune status and secondary immune response in rec...
COVID-19 Algorithms SARS-CoV-2 Transcriptome Humans Machine Learning Influenza Vaccines Single-Cell Analysis Immune System Multiomics CD8-Positive T-Lymphocytes
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COMPREHENSIVE CHARACTERIZATION OF CYTOKINES IN PATIENTS UNDER EXTRACORPOREAL MEMBRANE OXYGENATION: EVIDENCE FROM INTEGRATED BULK AND SINGLE-CELL RNA SEQUENCING DATA USING MULTIPLE MACHINE LEARNING APPROACHES.

Shock (Augusta, Ga.) Aug 23, 2024
Background : Extracorporeal membrane oxygenation (ECMO) is an effective technique for providing short-term mechanical support to the heart, lungs, or both. During ECMO treatment, the inflammatory response, particularly involving cytokines, plays a cr...
Sequence Analysis, RNA Extracorporeal Membrane Oxygenation Machine Learning Cytokines Single-Cell Analysis Humans
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is a novel marker for bladder cancer prognosis: evidence based on experimental studies, machine learning and single-cell sequencing.

Frontiers in immunology Aug 21, 2024
BACKGROUND: Bladder cancer, a highly fatal disease, poses a significant threat to patients. Positioned at 19q13.2-13.3, LIG1, one of the four DNA ligases in mammalian cells, is frequently deleted in tumour cells of diverse origins. Despite this, the ...
Male Middle Aged Gene Expression Profiling Protein Interaction Maps Gene Regulatory Networks Female DNA Ligase ATP Humans Cell Line, Tumor Aged Computational Biology Machine Learning Single-Cell Analysis Biomarkers, Tumor Gene Expression Regulation, Neoplastic Prognosis Urinary Bladder Neoplasms
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Applying 12 machine learning algorithms and Non-negative Matrix Factorization for robust prediction of lupus nephritis.

Frontiers in immunology Aug 19, 2024
Lupus nephritis (LN) is a challenging condition with limited diagnostic and treatment options. In this study, we applied 12 distinct machine learning algorithms along with Non-negative Matrix Factorization (NMF) to analyze single-cell datasets from k...
Computational Biology Biomarkers Lupus Nephritis Female Adult Single-Cell Analysis Protein Interaction Maps Humans Male Gene Expression Profiling Machine Learning Algorithms
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