AI Medical Compendium Journal:
Frontiers in genetics

Showing 11 to 20 of 44 articles

Identification of key genes affecting intramuscular fat deposition in pigs using machine learning models.

Frontiers in genetics
Intramuscular fat (IMF) is an important indicator for evaluating meat quality. Transcriptome sequencing (RNA-seq) is widely used for the study of IMF deposition. Machine learning (ML) is a new big data fitting method that can effectively fit complex ...

BIMSSA: enhancing cancer prediction with salp swarm optimization and ensemble machine learning approaches.

Frontiers in genetics
BACKGROUND: Cancer rates are rising rapidly, causing global mortality. According to the World Health Organization (WHO), 9.9 million people died from cancer in 2020. Machine learning (ML) helps identify cancer early, reducing deaths. An ML-based canc...

Urinary TYROBP and HCK as genetic biomarkers for non-invasive diagnosis and therapeutic targeting in IgA nephropathy.

Frontiers in genetics
BACKGROUND: IgA nephropathy (IgAN) is a leading cause of renal failure, but its pathogenesis remains unclear, complicating diagnosis and treatment. The invasive nature of renal biopsy highlights the need for non-invasive diagnostic biomarkers. Bulk R...

DMOIT: denoised multi-omics integration approach based on transformer multi-head self-attention mechanism.

Frontiers in genetics
Multi-omics data integration has become increasingly crucial for a deeper understanding of the complexity of biological systems. However, effectively integrating and analyzing multi-omics data remains challenging due to their heterogeneity and high d...

UDP-glucuronosyltransferases 2A3 as a biomarker for ulcerative colitis and colon cancer.

Frontiers in genetics
BACKGROUND: Ulcerative colitis has a serious impact on the quality of life of patients and is more likely to progress to colon cancer. Therefore, early diagnosis and timely intervention are of considerable importance.

identification of human microRNAs pointing centrin genes in : Considering the RNAi-mediated gene control.

Frontiers in genetics
Leishmaniasis, a parasitic disease caused by different species of the protozoa parasite , is a neglected tropical human disease that is endemic in about a hundred countries worldwide. According to the World Health Organization (WHO), the annual incid...

Artificial intelligence and database for NGS-based diagnosis in rare disease.

Frontiers in genetics
Rare diseases (RDs) are rare complex genetic diseases affecting a conservative estimate of 300 million people worldwide. Recent Next-Generation Sequencing (NGS) studies are unraveling the underlying genetic heterogeneity of this group of diseases. NG...

Machine learning and multi-omics data in chronic lymphocytic leukemia: the future of precision medicine?

Frontiers in genetics
Chronic lymphocytic leukemia is a complex and heterogeneous hematological malignancy. The advance of high-throughput multi-omics technologies has significantly influenced chronic lymphocytic leukemia research and paved the way for precision medicine ...

Comprehensive analysis of epigenomics and transcriptome data to identify potential target genes associated with obesity.

Frontiers in genetics
DNA methylation is closely related to the occurrence and development of many diseases, but its role in obesity is still unclear. This study aimed to find the potential differentially methylated genes associated with obesity occurrence and development...