AIMC Topic: Polymorphism, Single Nucleotide
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Cropformer: An interpretable deep learning framework for crop genomic prediction.
Plant communications
Dec 16, 2024
Machine learning and deep learning are extensively employed in genomic selection (GS) to expedite the identification of superior genotypes and accelerate breeding cycles. However, a significant challenge with current data-driven deep learning models ...
A Multi-Task Deep Feature Selection Method for Brain Imaging Genetics.
IEEE/ACM transactions on computational biology and bioinformatics
Dec 10, 2024
Using brain imaging quantitative traits (QTs) for identifying genetic risk factors is an important research topic in brain imaging genetics. Many efforts have been made for this task via building linear models between imaging QTs and genetic factors ...
Multiomics identification of programmed cell death-related characteristics for nonobstructive azoospermia based on a 675-combination machine learning computational framework.
Genomics
Dec 9, 2024
BACKGROUND: Abnormal programmed cell death (PCD) plays a central role in spermatogenic dysfunction. However, the molecular mechanisms and biomarkers of PCD in patients with nonobstructive azoospermia (NOA) remain unclear.
Machine learning-based prediction of antibiotic resistance in Mycobacterium tuberculosis clinical isolates from Uganda.
BMC infectious diseases
Dec 5, 2024
BACKGROUND: Efforts toward tuberculosis management and control are challenged by the emergence of Mycobacterium tuberculosis (MTB) resistance to existing anti-TB drugs. This study aimed to explore the potential of machine learning algorithms in predi...
Middle Aged
Microbial Sensitivity Tests
Uganda
Polymorphism, Single Nucleotide
Young Adult
Adult
Male
Mycobacterium tuberculosis
Isoniazid
Rifampin
Streptomycin
Antitubercular Agents
South Africa
Tuberculosis, Multidrug-Resistant
Humans
Whole Genome Sequencing
Machine Learning
Drug Resistance, Bacterial
Female
Machine learning approaches and genetic determinants that influence the development of type 2 diabetes mellitus: a genetic association study in Brazilian patients.
Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas
Dec 2, 2024
This genetic association study including 120 patients with type 2 diabetes mellitus (T2DM) and 166 non-diabetic individuals aimed to investigate the association of polymorphisms in the genes GSTM1 and GSTT1 (gene deletion), GSTP1 (rs1695), ACE (rs464...
Glutathione S-Transferase pi
Middle Aged
Risk Factors
Genetic Predisposition to Disease
Vascular Endothelial Growth Factor A
Aged
Brazil
Adult
Glutathione Transferase
Male
Polymorphism, Genetic
Humans
Machine Learning
Female
Polymorphism, Single Nucleotide
Genotype
Genetic Association Studies
Case-Control Studies
Diabetes Mellitus, Type 2
Integrative analysis and knowledgebase construction of key candidate genes and pathways in age-related macular degeneration.
Experimental eye research
Nov 28, 2024
Age-related macular degeneration is a retinal disease that severely impacts vision in the older population. Its gene-related heterogeneity has not been fully studied, increasing the burden of precise treatment, prevention and prognosis. Genetic varia...
Machine learning-enhanced multi-trait genomic prediction for optimizing cannabinoid profiles in cannabis.
The Plant journal : for cell and molecular biology
Nov 27, 2024
Cannabis sativa L., known for its medicinal and psychoactive properties, has recently experienced rapid market expansion but remains understudied in terms of its fundamental biology due to historical prohibitions. This pioneering study implements GS ...
Identification of Taihang-chicken-specific genetic markers using genome-wide SNPs and machine learning: BREED-SPECIFIC SNPS OF TAIHANG CHICKEN.
Poultry science
Nov 22, 2024
Taihang is an indigenous breed in Hebei Province and has a long history of evolution. To uncover the genetic basis and protect the genetic resources, it is important to develop accurate markers to identify Taihang at the molecular level. In this stud...
Predicting cell type-specific epigenomic profiles accounting for distal genetic effects.
Nature communications
Nov 16, 2024
Understanding how genetic variants affect the epigenome is key to interpreting GWAS, yet profiling these effects across the non-coding genome remains challenging due to experimental scalability. This necessitates accurate computational models. Existi...
SNPs and blood inflammatory marker featured machine learning for predicting the efficacy of fluorouracil-based chemotherapy in colorectal cancer.
Scientific reports
Nov 12, 2024
Fluorouracil-based chemotherapy responses in colorectal cancer (CRC) patients vary widely, highlighting the role of pharmacogenomics in developing better predictive models. We analyzed 379 CRC patients receiving fluorouracil-based chemotherapy, colle...
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