AIMC Topic: Transcriptome

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Deep learning-based pathway-centric approach to characterize recurrent hepatocellular carcinoma after liver transplantation.

Human genomics Jun 5, 2024
BACKGROUND: Liver transplantation (LT) is offered as a cure for Hepatocellular carcinoma (HCC), however 15-20% develop recurrence post-transplant which tends to be aggressive. In this study, we examined the transcriptome profiles of patients with rec...
Deep Learning Liver Neoplasms Carcinoma, Hepatocellular Protein Interaction Maps Middle Aged Gene Expression Profiling Transcriptome Liver Transplantation Gene Regulatory Networks Gene Expression Regulation, Neoplastic Signal Transduction Neoplasm Recurrence, Local Humans Female Biomarkers, Tumor Male
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Machine learning and related approaches in transcriptomics.

Biochemical and biophysical research communications Jun 4, 2024
Data acquisition for transcriptomic studies used to be the bottleneck in the transcriptomic analytical pipeline. However, recent developments in transcriptome profiling technologies have increased researchers' ability to obtain data, resulting in a s...
Machine Learning Gene Expression Profiling Transcriptome Computational Biology Humans
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Identification of shared gene signatures and pathways for diagnosing osteoporosis with sarcopenia through integrated bioinformatics analysis and machine learning.

BMC musculoskeletal disorders Jun 3, 2024
BACKGROUND: Prior studies have suggested a potential relationship between osteoporosis and sarcopenia, both of which can present symptoms of compromised mobility. Additionally, fractures among the elderly are often considered a common outcome of both...
Humans Machine Learning Osteoporosis Databases, Genetic Sarcopenia Transcriptome Protein Interaction Maps Gene Regulatory Networks Computational Biology Female Aged Gene Expression Profiling
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Prediction of Interactomic HUB Genes in Periodontitis With Acute Myocardial Infarction.

The Journal of craniofacial surgery Jun 3, 2024
BACKGROUND: Acute myocardial infarction (AMI) risk correlates with C-reactive protein (CRP) levels, suggesting systemic inflammation is present well before AMI. Studying different types of periodontal disease (PD), extremely common in individuals at ...
Humans Machine Learning Bayes Theorem Biomarkers Gene Expression Profiling Myocardial Infarction Transcriptome Periodontitis
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Integrated analysis of multiple transcriptomic approaches and machine learning integration algorithms reveals high endothelial venules as a prognostic immune-related biomarker in bladder cancer.

International immunopharmacology Jun 1, 2024
BACKGROUND: Despite the availability of established surgical and chemotherapy options, the treatment of bladder cancer (BCa) patients remains challenging. While immunotherapy has emerged as a promising approach, its benefits are limited to a subset o...
Machine Learning Algorithms Prognosis Biomarkers, Tumor Immunotherapy Humans Animals Gene Expression Profiling Gene Expression Regulation, Neoplastic Transcriptome Urinary Bladder Neoplasms Mice Venules
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Identification of drug responsive enhancers by predicting chromatin accessibility change from perturbed gene expression profiles.

NPJ systems biology and applications May 30, 2024
Individual may response to drug treatment differently due to their genetic variants located in enhancers. These variants can alter transcription factor's (TF) binding strength, affect enhancer's chromatin activity or interaction, and eventually chang...
Humans Machine Learning Gene Expression Profiling Transcriptome Transcription Factors Enhancer Elements, Genetic Chromatin Pharmacogenetics Genome-Wide Association Study Computational Biology
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Deciphering Abnormal Platelet Subpopulations in COVID-19, Sepsis and Systemic Lupus Erythematosus through Machine Learning and Single-Cell Transcriptomics.

International journal of molecular sciences May 29, 2024
This study focuses on understanding the transcriptional heterogeneity of activated platelets and its impact on diseases such as sepsis, COVID-19, and systemic lupus erythematosus (SLE). Recognizing the limited knowledge in this area, our research aim...
Humans Machine Learning COVID-19 SARS-CoV-2 Lupus Erythematosus, Systemic Gene Expression Profiling Blood Platelets Transcriptome Platelet Activation Sepsis Single-Cell Analysis
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Identification of Marker Genes in Infectious Diseases from ScRNA-seq Data Using Interpretable Machine Learning.

International journal of molecular sciences May 29, 2024
A common result of infection is an abnormal immune response, which may be detrimental to the host. To control the infection, the immune system might undergo regulation, therefore producing an excess of either pro-inflammatory or anti-inflammatory pat...
Single-Cell Analysis RNA-Seq Single-Cell Gene Expression Analysis Sequence Analysis, RNA SARS-CoV-2 Gene Expression Profiling Transcriptome Sepsis Machine Learning COVID-19 Biomarkers Humans
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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...
Psoriasis Transcriptome Carcinoma, Squamous Cell MicroRNAs Protein Interaction Maps Biomarkers, Tumor Computational Biology Humans HeLa Cells Uterine Cervical Neoplasms Gene Expression Regulation, Neoplastic Gene Regulatory Networks Machine Learning Signal Transduction Gene Expression Profiling Female Databases, Genetic
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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...
Myocardial Infarction Genetic Markers T-Cell Exhaustion Computational Biology Databases, Genetic Machine Learning Predictive Value of Tests Prognosis T-Lymphocytes Gene Expression Profiling Transcriptome Humans Case-Control Studies Protein Interaction Maps Gene Regulatory Networks
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