AIMC Topic: Disease Susceptibility

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CellGO: a novel deep learning-based framework and webserver for cell-type-specific gene function interpretation.

Briefings in bioinformatics Nov 22, 2023
Interpreting the function of genes and gene sets identified from omics experiments remains a challenge, as current pathway analysis tools often fail to consider the critical biological context, such as tissue or cell-type specificity. To address this...
Software Deep Learning Disease Susceptibility Humans
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The accurate prediction and characterization of cancerlectin by a combined machine learning and GO analysis.

Briefings in bioinformatics Nov 5, 2021
Cancerlectins, lectins linked to tumor progression, have become the focus of cancer therapy research for their carbohydrate-binding specificity. However, the specific characterization for cancerlectins involved in tumor progression is still unclear. ...
Computational Biology Databases, Genetic Phylogeny Protein Binding Amino Acid Sequence Disease Susceptibility Structure-Activity Relationship Workflow Machine Learning Algorithms Neoplasms Peptides Protein Interaction Domains and Motifs Gene Ontology Lectins
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Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease association prediction.

Briefings in bioinformatics Nov 5, 2021
MOTIVATION: In recent years, a growing number of studies have proved that microRNAs (miRNAs) play significant roles in the development of human complex diseases. Discovering the associations between miRNAs and diseases has become an important part of...
MicroRNAs Disease Susceptibility Neural Networks, Computer Computational Biology Algorithms Databases, Genetic Web Browser Biomarkers Humans ROC Curve
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Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients With Clinical High-Risk Syndromes and Recent-Onset Depression.

JAMA psychiatry Feb 1, 2021
IMPORTANCE: Diverse models have been developed to predict psychosis in patients with clinical high-risk (CHR) states. Whether prediction can be improved by efficiently combining clinical and biological models and by broadening the risk spectrum to yo...
Disease Susceptibility Depressive Disorder Schizophrenia Psychotic Disorders Machine Learning Prognosis Female Young Adult Humans Time Factors Longitudinal Studies Europe Workflow Male Adult Follow-Up Studies Comorbidity Sensitivity and Specificity
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Distinct Transcriptional and Anti-Mycobacterial Profiles of Peripheral Blood Monocytes Dependent on the Ratio of Monocytes: Lymphocytes.

EBioMedicine Nov 1, 2015
The ratio of monocytes and lymphocytes (ML ratio) in peripheral blood is associated with tuberculosis and malaria disease risk and cancer and cardiovascular disease outcomes. We studied anti-mycobacterial function and the transcriptome of monocytes i...
Transcription Factors Tuberculosis Monocytes Mycobacterium Interferons Signal Transduction Male Disease Resistance Young Adult Lymphocytes Gene Expression Profiling Transcriptome Binding Sites Disease Susceptibility Adult Protein Binding Humans Leukocyte Count Female
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