AIMC Topic: Gene Expression Profiling

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Integrated bioinformatics combined with machine learning to analyze shared biomarkers and pathways in psoriasis and cervical squamous cell carcinoma.

Frontiers in immunology May 28, 2024
BACKGROUND: Psoriasis extends beyond its dermatological inflammatory manifestations, encompassing systemic inflammation. Existing studies have indicated a potential risk of cervical cancer among patients with psoriasis, suggesting a potential mechani...
Transcriptome Carcinoma, Squamous Cell Psoriasis Biomarkers, Tumor Protein Interaction Maps Humans Uterine Cervical Neoplasms Gene Regulatory Networks MicroRNAs Gene Expression Profiling Machine Learning Computational Biology HeLa Cells Female Gene Expression Regulation, Neoplastic Signal Transduction Databases, Genetic
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Development and validation of a reliable DNA copy-number-based machine learning algorithm (CopyClust) for breast cancer integrative cluster classification.

Scientific reports May 24, 2024
The Integrative Cluster subtypes (IntClusts) provide a framework for the classification of breast cancer tumors into 10 distinct groups based on copy number and gene expression, each with unique biological drivers of disease and clinical prognoses. G...
DNA Copy Number Variations Female Breast Neoplasms Gene Expression Profiling Cluster Analysis Humans Machine Learning Algorithms
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Exploring T-cell exhaustion features in Acute myocardial infarction for a Novel Diagnostic model and new therapeutic targets by bio-informatics and machine learning.

BMC cardiovascular disorders May 24, 2024
BACKGROUND: T-cell exhaustion (TEX), a condition characterized by impaired T-cell function, has been implicated in numerous pathological conditions, but its role in acute myocardial Infarction (AMI) remains largely unexplored. This research aims to i...
Genetic Markers T-Cell Exhaustion Computational Biology Databases, Genetic Predictive Value of Tests Myocardial Infarction Case-Control Studies Protein Interaction Maps Gene Regulatory Networks Humans Machine Learning Prognosis T-Lymphocytes Gene Expression Profiling Transcriptome
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Integration of bioinformatics and machine learning approaches for the validation of pyrimidine metabolism-related genes and their implications in immunotherapy for osteoporosis.

BMC musculoskeletal disorders May 22, 2024
BACKGROUND: Osteoporosis (OP), the "silent epidemic" of our century, poses a significant challenge to public health, predominantly affecting postmenopausal women and the elderly. It evolves from mild symptoms to pronounced severity, stabilizing event...
Immunotherapy Pyrimidines Gene Expression Profiling Gene Regulatory Networks Computational Biology Humans Machine Learning Osteoporosis Female Aged
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Characterization of PANoptosis-related genes in Crohn's disease by integrated bioinformatics, machine learning and experiments.

Scientific reports May 22, 2024
Currently, the biological understanding of Crohn's disease (CD) remains limited. PANoptosis is a revolutionary form of cell death reported to participate in numerous diseases, including CD. In our study, we aimed to uncover the roles of PANoptosis in...
Humans Machine Learning Mice Computational Biology Disease Models, Animal Crohn Disease Animals Gene Expression Profiling Gene Regulatory Networks
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A novel support vector machine-based 1-day, single-dose prediction model of genotoxic hepatocarcinogenicity in rats.

Archives of toxicology May 18, 2024
The development of a rapid and accurate model for determining the genotoxicity and carcinogenicity of chemicals is crucial for effective cancer risk assessment. This study aims to develop a 1-day, single-dose model for identifying genotoxic hepatocar...
Liver Risk Assessment Oligonucleotide Array Sequence Analysis Reproducibility of Results Gene Expression Profiling Carcinogens Administration, Oral Animals Rats Carcinogenicity Tests Mutagens Male Support Vector Machine
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Evaluating the predictive value of angiogenesis-related genes for prognosis and immunotherapy response in prostate adenocarcinoma using machine learning and experimental approaches.

Frontiers in immunology May 16, 2024
BACKGROUND: Angiogenesis, the process of forming new blood vessels from pre-existing ones, plays a crucial role in the development and advancement of cancer. Although blocking angiogenesis has shown success in treating different types of solid tumors...
Neovascularization, Pathologic Humans Microtubule-Associated Proteins Machine Learning Angiogenesis Immunotherapy Prognosis Gene Expression Regulation, Neoplastic Biomarkers, Tumor Male Adenocarcinoma Molecular Docking Simulation Prostatic Neoplasms Gene Expression Profiling
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Deciphering the Genetic Links between Psychological Stress, Autophagy, and Dermatological Health: Insights from Bioinformatics, Single-Cell Analysis, and Machine Learning in Psoriasis and Anxiety Disorders.

International journal of molecular sciences May 15, 2024
The relationship between psychological stress, altered skin immunity, and autophagy-related genes (ATGs) is currently unclear. Psoriasis is a chronic skin inflammation of unclear etiology that is characterized by persistence and recurrence. Immune dy...
Stress, Psychological Single-Cell Analysis Gene Regulatory Networks Computational Biology Psoriasis Autophagy Skin Humans Machine Learning Anxiety Disorders Gene Expression Profiling
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Machine Learning Strategies in MicroRNA Research: Bridging Genome to Phenome.

Omics : a journal of integrative biology May 15, 2024
MicroRNAs (miRNAs) have emerged as a prominent layer of regulation of gene expression. This article offers the salient and current aspects of machine learning (ML) tools and approaches from genome to phenome in miRNA research. First, we underline tha...
Humans Machine Learning RNA, Messenger Phenotype MicroRNAs Gene Expression Profiling RNA, Long Noncoding Gene Regulatory Networks Gene Expression Regulation Computational Biology
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An integrated machine learning framework for developing and validating a diagnostic model of major depressive disorder based on interstitial cystitis-related genes.

Journal of affective disorders May 14, 2024
BACKGROUND: Major depressive disorder (MDD) and interstitial cystitis (IC) are two highly debilitating conditions that often coexist with reciprocal effect, significantly exacerbating patients' suffering. However, the molecular underpinnings linking ...
Transcriptome Cystitis, Interstitial Machine Learning Humans Depressive Disorder, Major Gene Expression Profiling
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