AIMC Topic: Gene Expression Profiling

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Unveiling the crucial role of glycosylation modification in lung adenocarcinoma metastasis through artificial neural network-based spatial multi-omics single-cell analysis and Mendelian randomization.

BMC cancer Feb 13, 2025
BACKGROUND: Investigations into the intricacies of glycosylation modifications, a prevalent post-translational alteration observed in neoplasms, especially remain elusive in the context of lung adenocarcinoma. Through the integration of multiple omic...
Humans Neural Networks, Computer Single-Cell Analysis Lung Neoplasms Gene Expression Profiling Transcriptome Protein Processing, Post-Translational Mendelian Randomization Analysis Adenocarcinoma of Lung Multiomics Gene Expression Regulation, Neoplastic Glycosylation
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Combining machine learning with external validation to explore necroptosis and immune response in moyamoya disease.

BMC immunology Feb 13, 2025
Moyamoya disease (MMD) is a rare chronic vascular disease leads to cognitive impairment and stroke with its etiology unknown. The relationship between necroptosis or necroinflammation and MMD pathogenesis was poorly understood. Differentially express...
Moyamoya Disease Machine Learning Gene Expression Profiling Protein Interaction Maps Humans Necroptosis Gene Regulatory Networks Immunity Support Vector Machine
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X-scPAE: An explainable deep learning model for embryonic lineage allocation prediction based on single-cell transcriptomics revealing key genes in embryonic cell development.

Computers in biology and medicine Feb 12, 2025
In single-cell transcriptomics research, accurately predicting cell lineage allocation and identifying differences between lineages are crucial for understanding cell differentiation processes and reducing early pregnancy miscarriages in humans. This...
Deep Learning Single-Cell Analysis Mice Embryonic Development Cell Lineage Female Animals Gene Expression Profiling Transcriptome Humans Algorithms
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A machine learning-based investigation of integrin expression patterns in cancer and metastasis.

Scientific reports Feb 12, 2025
Integrins, a family of transmembrane receptor proteins, are well known to play important roles in cancer development and metastasis. However, a comprehensive understanding of these roles has not been achieved due to the complex relationships between ...
Gene Expression Profiling Gene Expression Regulation, Neoplastic Databases, Genetic Neoplasm Metastasis Female Male Neoplasms Integrins Humans Machine Learning
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A multi-classification deep neural network for cancer type identification from high-dimension, small-sample and imbalanced gene microarray data.

Scientific reports Feb 12, 2025
Gene microarray technology provides an efficient way to diagnose cancer. However, microarray gene expression data face the challenges of high-dimension, small-sample, and multi-class imbalance. The coupling of these challenges leads to inaccurate res...
Algorithms Neoplasms Gene Expression Profiling Computational Biology Humans Neural Networks, Computer Databases, Genetic Oligonucleotide Array Sequence Analysis
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Machine Learning-Driven Identification of Molecular Subgroups in Medulloblastoma via Gene Expression Profiling.

Clinical oncology (Royal College of Radiologists (Great Britain)) Feb 11, 2025
AIMS: Medulloblastoma (MB) is the most prevalent malignant brain tumour in children, characterised by substantial molecular heterogeneity across its subgroups. Accurate classification is pivotal for personalised treatment strategies and prognostic as...
Gene Expression Profiling Child, Preschool Child Support Vector Machine Machine Learning Female Male Cerebellar Neoplasms Medulloblastoma Humans
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Identification of critical biomarkers and immune infiltration in preeclampsia through bioinformatics and machine learning methods.

BMC pregnancy and childbirth Feb 11, 2025
BACKGROUND: Preeclampsia (PE) is a multisystem progressive disease that occurs during pregnancy. Previous studies have shown that the immune system is involved in the placental trophoblast function and the pathological process of uterine vascular rem...
Gene Expression Profiling ROC Curve Gene Regulatory Networks Machine Learning Pre-Eclampsia Humans Computational Biology Biomarkers Placenta Pregnancy Female
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Feature gene selection and functional validation of SH3KBP1 in infantile hemangioma using machine learning.

Biochemical and biophysical research communications Feb 10, 2025
BACKGROUND: Infantile hemangioma (IH) is a prevalent vascular tumor in infancy with a complex pathogenesis that remains unclear. This study aimed to investigate the underlying mechanisms of IH using comprehensive bioinformatics analyses and in vitro ...
Hemangioma Computational Biology Gene Expression Regulation, Neoplastic MicroRNAs Adaptor Proteins, Signal Transducing Gene Expression Profiling Child, Preschool Gene Regulatory Networks Machine Learning Male Humans Female Infant
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Differential gene expression analysis and machine learning identified structural, TFs, cytokine and glycoproteins, including SOX2, TOP2A, SPP1, COL1A1, and TIMP1 as potential drivers of lung cancer.

Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals Feb 10, 2025
BACKGROUND: Lung cancer is a primary global health concern, responsible for a considerable portion of cancer-related fatalities worldwide. Understanding its molecular complexities is crucial for identifying potential targets for treatment. The goal i...
Protein Interaction Maps Gene Regulatory Networks Lung Neoplasms Gene Expression Regulation, Neoplastic Humans Machine Learning Biomarkers, Tumor Gene Expression Profiling SOXB1 Transcription Factors Osteopontin Poly-ADP-Ribose Binding Proteins Collagen Type I Collagen Type I, alpha 1 Chain Tissue Inhibitor of Metalloproteinase-1 DNA Topoisomerases, Type II
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Galactose-Induced Cataracts in Rats: A Machine Learning Analysis.

International journal of medical sciences Feb 10, 2025
Rat models are widely used to study cataracts due to their cost-effectiveness and prominent physiological and genetic similarities to humans The objective of this study was to identify genes involved in cataractogenesis due to galactose exposure in ...
Transcription Factors Galactose Male Disease Models, Animal Humans Lens, Crystalline Cataract Gene Expression Profiling Gene Expression Regulation Machine Learning Rats Animals
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