AIMC Topic: Gene Expression Profiling

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Systematical analysis of underlying markers associated with Marfan syndrome via integrated bioinformatics and machine learning strategies.

Journal of biomolecular structure & dynamics Jul 14, 2023
Marfan syndrome (MFS) is a hereditary disease with high mortality. This study aimed to explore peripheral blood potential markers and underlying mechanisms in MFS via a series bioinformatics and machine learning analysis. First, we downloaded two MFS...
ROC Curve Protein Interaction Maps Biomarkers Gene Expression Profiling Databases, Genetic MicroRNAs Gene Regulatory Networks Computational Biology Humans Machine Learning Algorithms Marfan Syndrome Gene Expression Regulation
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The prediction of drug sensitivity by multi-omics fusion reveals the heterogeneity of drug response in pan-cancer.

Computers in biology and medicine Jul 1, 2023
Cancer drug response prediction based on genomic information plays a crucial role in modern pharmacogenomics, enabling individualized therapy. Given the expensive and complexity of biological experiments, computational methods serve as effective tool...
Multiomics Cell Line, Tumor Genomics Neoplasms Antineoplastic Agents Gene Expression Profiling Deep Learning Humans
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Deep learning applications in single-cell genomics and transcriptomics data analysis.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie Jul 1, 2023
Traditional bulk sequencing methods are limited to measuring the average signal in a group of cells, potentially masking heterogeneity, and rare populations. The single-cell resolution, however, enhances our understanding of complex biological system...
Machine Learning Deep Learning Genomics Gene Expression Profiling Transcriptome
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scTour: a deep learning architecture for robust inference and accurate prediction of cellular dynamics.

Genome biology Jun 23, 2023
Despite the continued efforts, a batch-insensitive tool that can both infer and predict the developmental dynamics using single-cell genomics is lacking. Here, I present scTour, a novel deep learning architecture to perform robust inference and accur...
Genomics Deep Learning Gene Expression Profiling Transcriptome
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Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature importance analysis for aging and age-related disease target discovery.

Aging Jun 13, 2023
Aging is a complex and multifactorial process that increases the risk of various age-related diseases and there are many aging clocks that can accurately predict chronological age, mortality, and health status. These clocks are disconnected and are r...
Gene Expression Profiling Machine Learning
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SPIN-AI: A Deep Learning Model That Identifies Spatially Predictive Genes.

Biomolecules May 27, 2023
Spatially resolved sequencing technologies help us dissect how cells are organized in space. Several available computational approaches focus on the identification of spatially variable genes (SVGs), genes whose expression patterns vary in space. The...
Artificial Intelligence Gene Expression Profiling Transcriptome Deep Learning
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Deep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classified.

PloS one May 22, 2023
Differentiating the intrinsic subtypes of breast cancer is crucial for deciding the best treatment strategy. Deep learning can predict the subtypes from genetic information more accurately than conventional statistical methods, but to date, deep lear...
Logistic Models Breast Neoplasms Prognosis Humans Gene Expression Profiling Biomarkers, Tumor Female Deep Learning
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Uncovering expression signatures of synergistic drug responses via ensembles of explainable machine-learning models.

Nature biomedical engineering May 1, 2023
Machine learning may aid the choice of optimal combinations of anticancer drugs by explaining the molecular basis of their synergy. By combining accurate models with interpretable insights, explainable machine learning promises to accelerate data-dri...
Gene Expression Profiling Humans Machine Learning Transcriptome
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Diagnosis of gastric cancer based on hybrid genes selection approach.

Biotechnology & genetic engineering reviews Apr 20, 2023
Gastric cancer (GC) is the third leading cause of cancer death worldwide. In the field of medicine, machine learning is widely used in genetic data mining and the construction of diagnostic models. This study proposed an intelligent model DERFS-XGBoo...
Gene Expression Regulation, Neoplastic Machine Learning Algorithms Gene Expression Profiling Humans Stomach Neoplasms ROC Curve Biomarkers, Tumor
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Constructing metabolism-protein interaction relationship to identify glioma prognosis using deep learning.

Computers in biology and medicine Apr 3, 2023
Glioma is heterogeneous disease that requires classification into subtypes with similar clinical phenotypes, prognosis or treatment responses. Metabolic-protein interaction (MPI) can provide meaningful insights into cancer heterogeneity. Moreover, th...
Deep Learning Glioma Humans Gene Expression Profiling
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