AIMC Topic: Mice

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Predictive biomarkers for embryotoxicity: a machine learning approach to mitigating multicollinearity in RNA-Seq.

Archives of toxicology Sep 6, 2024
Multicollinearity, characterized by significant co-expression patterns among genes, often occurs in high-throughput expression data, potentially impacting the predictive model's reliability. This study examined multicollinearity among closely related...
Machine Learning Teratogens Gene Expression Regulation, Developmental Embryoid Bodies RNA-Seq Mice Fluorouracil Biomarkers Reproducibility of Results Animals
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A deep learning-based approach for unbiased kinematic analysis in CNS injury.

Experimental neurology Sep 5, 2024
Traumatic spinal cord injury (SCI) is a devastating condition that impacts over 300,000 individuals in the US alone. Depending on the severity of the injury, SCI can lead to varying degrees of sensorimotor deficits and paralysis. Despite advances in ...
Mice, Inbred C57BL Locomotion Spinal Cord Injuries Deep Learning Mice Female Biomechanical Phenomena Animals
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Deep Hair Phenomics: Implications in Endocrinology, Development, and Aging.

The Journal of investigative dermatology Sep 3, 2024
Hair quality is an important indicator of health in humans and other animals. Current approaches to assess hair quality are generally nonquantitative or are low throughput owing to technical limitations of splitting hairs. We developed a deep learnin...
Hair Hair Follicle Phenomics Humans Phenotype Animals Aging Deep Learning Mice
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An Explainable Graph Neural Framework to Identify Cancer-Associated Intratumoral Microbial Communities.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Sep 3, 2024
Microbes are extensively present among various cancer tissues and play critical roles in carcinogenesis and treatment responses. However, the underlying relationships between intratumoral microbes and tumors remain poorly understood. Here, a MIcrobia...
Humans Neural Networks, Computer Mice Disease Models, Animal Microbiota Reproducibility of Results Animals Neoplasms
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Probing Nanotopography-Mediated Macrophage Polarization via Integrated Machine Learning and Combinatorial Biophysical Cue Mapping.

ACS nano Sep 3, 2024
Inflammatory responses, leading to fibrosis and potential host rejection, significantly hinder the long-term success and widespread adoption of biomedical implants. The ability to control and investigated macrophage inflammatory responses at the impl...
Surface Properties Mice Nanostructures RAW 264.7 Cells Machine Learning Macrophages Animals
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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...
Peptide Initiation Factors Radiation Tolerance Eukaryotic Translation Initiation Factor 5A Cell Line, Tumor Single-Cell Analysis Mice RNA-Binding Proteins Gene Expression Regulation, Neoplastic Neoplastic Stem Cells Colorectal Neoplasms Tumor Microenvironment Animals Humans Machine Learning
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Enhancing metastatic colorectal cancer prediction through advanced feature selection and machine learning techniques.

International immunopharmacology Sep 2, 2024
BACKGROUND AND AIMS: Colorectal cancer (CRC) is the third most prevalent cancer globally, posing a significant challenge due to its high rate of metastasis. Approximately 20% of patients with CRC present with distant metastases at diagnosis, and over...
Humans Machine Learning Algorithms Cell Line, Tumor Mice Gene Expression Regulation, Neoplastic Colorectal Neoplasms Biomarkers, Tumor Animals Neoplasm Metastasis
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Deep structure-level N-glycan identification using feature-induced structure diagnosis integrated with a deep learning model.

Analytical and bioanalytical chemistry Aug 30, 2024
Being a widely occurring protein post-translational modification, N-glycosylation features unique multi-dimensional structures including sequence and linkage isomers. There have been successful bioinformatics efforts in N-glycan structure identificat...
Neural Networks, Computer Animals Polysaccharides Tandem Mass Spectrometry Deep Learning Mice Glycosylation
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KineWheel-DeepLabCut Automated Paw Annotation Using Alternating Stroboscopic UV and White Light Illumination.

eNeuro Aug 29, 2024
Uncovering the relationships between neural circuits, behavior, and neural dysfunction may require rodent pose tracking. While open-source toolkits such as DeepLabCut have revolutionized markerless pose estimation using deep neural networks, the trai...
Light Ultraviolet Rays Lighting Video Recording Behavior, Animal Deep Learning Image Processing, Computer-Assisted Mice Animals Male Neural Networks, Computer
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