AIMC Topic: Gene Expression Profiling

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[Screening of characteristic genes of salivary gland adenoid cystic carcinoma based on weighted co-expression network and machine learning].

Shanghai kou qiang yi xue = Shanghai journal of stomatology Dec 1, 2024
PURPOSE: To identify potential biomarkers of salivary gland adenoid cystic carcinoma to further understand the potential pathogenesis of adenoid cystic carcinoma.
Carcinoma, Adenoid Cystic Biomarkers, Tumor Gene Expression Profiling ROC Curve RNA, Long Noncoding Salivary Gland Neoplasms Gene Regulatory Networks Gene Expression Regulation, Neoplastic Humans Machine Learning
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Machine Learning Enabled Prediction of Biologically Relevant Gene Expression Using CT-Based Radiomic Features in Non-Small Cell Lung Cancer.

Cancer medicine Dec 1, 2024
BACKGROUND: Non-small-cell lung cancer (NSCLC) remains a global health challenge, driving morbidity and mortality. The emerging field of radiogenomics utilizes statistical methods to correlate radiographic tumor features with genomic characteristics ...
Retrospective Studies Tomography, X-Ray Computed Female Humans Machine Learning Male Middle Aged Gene Expression Profiling Lung Neoplasms Aged Radiomics Biomarkers, Tumor Gene Expression Regulation, Neoplastic Carcinoma, Non-Small-Cell Lung
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Identification of Ferroptosis-Related Gene in Age-Related Macular Degeneration Using Machine Learning.

Immunity, inflammation and disease Dec 1, 2024
BACKGROUND: Age-related macular degeneration (AMD) is a major cause of irreversible visual impairment, with dry AMD being the most prevalent form. Programmed cell death of retinal pigment epithelium (RPE) cells is a central mechanism in the pathogene...
Mice Ferroptosis Macular Degeneration Retinal Pigment Epithelium Machine Learning Animals Gene Expression Profiling Humans
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Building a Risk Scoring Model for ARDS in Lung Adenocarcinoma Patients Using Machine Learning Algorithms.

Journal of cellular and molecular medicine Dec 1, 2024
Lung adenocarcinoma (LUAD), the predominant form of non-small-cell lung cancer, is frequently complicated by acute respiratory distress syndrome (ARDS), which increases mortality risks. Investigating the prognostic implications of ARDS-related genes ...
Biomarkers, Tumor Male Risk Assessment Prognosis Female Risk Factors Respiratory Distress Syndrome DNA Copy Number Variations Mutation Adenocarcinoma of Lung Gene Expression Profiling Lung Neoplasms Gene Expression Regulation, Neoplastic Machine Learning Algorithms Humans
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Deconvolution of spatial transcriptomics data via graph contrastive learning and partial least square regression.

Briefings in bioinformatics Nov 22, 2024
Deciphering the cellular abundance in spatial transcriptomics (ST) is crucial for revealing the spatial architecture of cellular heterogeneity within tissues. However, some of the current spatial sequencing technologies are in low resolutions, leadin...
Computational Biology Least-Squares Analysis Gene Expression Profiling Transcriptome Single-Cell Analysis Humans Machine Learning Algorithms
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Classification-based pathway analysis using GPNet with novel P-value computation.

Briefings in bioinformatics Nov 22, 2024
Pathway analysis plays a critical role in bioinformatics, enabling researchers to identify biological pathways associated with various conditions by analyzing gene expression data. However, the rise of large, multi-center datasets has highlighted lim...
Support Vector Machine Gene Expression Profiling Deep Learning Computational Biology Humans Algorithms Female Breast Neoplasms
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Predicting transcriptional changes induced by molecules with MiTCP.

Briefings in bioinformatics Nov 22, 2024
Studying the changes in cellular transcriptional profiles induced by small molecules can significantly advance our understanding of cellular state alterations and response mechanisms under chemical perturbations, which plays a crucial role in drug di...
Piperazines Transcription, Genetic Irinotecan Humans Neural Networks, Computer Transcriptome Deep Learning Computational Biology Pyridines Neoplasms Antineoplastic Agents Gene Expression Profiling
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Spatially aligned graph transfer learning for characterizing spatial regulatory heterogeneity.

Briefings in bioinformatics Nov 22, 2024
Spatially resolved transcriptomics (SRT) technologies facilitate the exploration of cell fates or states within tissue microenvironments. Despite these advances, the field has not adequately addressed the regulatory heterogeneity influenced by microe...
Gene Expression Profiling Transcriptome Gene Regulatory Networks Computational Biology Humans Machine Learning Algorithms
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Explainable deep neural networks for predicting sample phenotypes from single-cell transcriptomics.

Briefings in bioinformatics Nov 22, 2024
Recent advances in single-cell RNA-Sequencing (scRNA-Seq) technologies have revolutionized our ability to gather molecular insights into different phenotypes at the level of individual cells. The analysis of the resulting data poses significant chall...
Neural Networks, Computer COVID-19 Humans Single-Cell Analysis Sequence Analysis, RNA Lupus Erythematosus, Systemic Alzheimer Disease Gene Expression Profiling Transcriptome Deep Learning Algorithms Phenotype SARS-CoV-2
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Deep learning in integrating spatial transcriptomics with other modalities.

Briefings in bioinformatics Nov 22, 2024
Spatial transcriptomics technologies have been extensively applied in biological research, enabling the study of transcriptome while preserving the spatial context of tissues. Paired with spatial transcriptomics data, platforms often provide histolog...
Computational Biology Transcriptome Deep Learning Single-Cell Analysis Animals Gene Expression Profiling Humans
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