AIMC Topic: Sequence Analysis, DNA

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Comparative analysis of the human microbiome from four different regions of China and machine learning-based geographical inference.

mSphere Dec 19, 2024
The human microbiome, the community of microorganisms that reside on and inside the human body, is critically important for health and disease. However, it is influenced by various factors and may vary among individuals residing in distinct geographi...
Humans Machine Learning Microbiota Mouth Nasal Cavity Skin Hand Adult Male Female Middle Aged DNA, Bacterial Young Adult RNA, Ribosomal, 16S Phylogeny Sequence Analysis, DNA China Bacteria
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TExCNN: Leveraging Pre-Trained Models to Predict Gene Expression from Genomic Sequences.

Genes Dec 12, 2024
BACKGROUND/OBJECTIVES: Understanding the relationship between DNA sequences and gene expression levels is of significant biological importance. Recent advancements have demonstrated the ability of deep learning to predict gene expression levels direc...
Deep Learning Genomics Sequence Analysis, DNA Humans Neural Networks, Computer Software
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Ense-i6mA: Identification of DNA N-Methyladenine Sites Using XGB-RFE Feature Selection and Ensemble Machine Learning.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
DNA N-methyladenine (6mA) is an important epigenetic modification that plays a vital role in various cellular processes. Accurate identification of the 6mA sites is fundamental to elucidate the biological functions and mechanisms of modification. How...
Animals Computational Biology Sequence Analysis, DNA DNA Methylation DNA Drosophila melanogaster Machine Learning Algorithms Adenine Arabidopsis
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Transcription Factor Binding Site Prediction Using CnNet Approach.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
Controlling the gene expression is the most important development in a living organism, which makes it easier to find different kinds of diseases and their causes. It's very difficult to know what factors control the gene expression. Transcription Fa...
Deep Learning Computational Biology Sequence Analysis, DNA Humans Transcription Factors Neural Networks, Computer Binding Sites Algorithms
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Self-distillation improves self-supervised learning for DNA sequence inference.

Neural networks : the official journal of the International Neural Network Society Dec 7, 2024
Self-supervised Learning (SSL) has been recognized as a method to enhance prediction accuracy in various downstream tasks. However, its efficacy for DNA sequences remains somewhat constrained. This limitation stems primarily from the fact that most e...
Sequence Analysis, DNA DNA Supervised Machine Learning Humans Neural Networks, Computer Deep Learning
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AI-driven feature selection and epigenetic pattern analysis: A screening strategy of CpGs validated by pyrosequencing for body fluid identification.

Forensic science international Dec 6, 2024
Identification of body fluid stain at crime scene is one of the important tasks of forensic evidence analysis. Currently, body fluid-specific CpGs detected by DNA methylation microarray screening, have been widely studied for forensic body fluid iden...
Semen Genetic Markers Saliva Sequence Analysis, DNA DNA Methylation Cervix Mucus CpG Islands Forensic Genetics Menstruation Humans Machine Learning Algorithms Female Male Epigenesis, Genetic
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Developing a method for predicting DNA nucleosomal sequences using deep learning.

Technology and health care : official journal of the European Society for Engineering and Medicine Nov 20, 2024
BackgroundDeep learning excels at processing raw data because it automatically extracts and classifies high-level features. Despite biology's low popularity in data analysis, incorporating computer technology can improve biological research.Objective...
DNA Algorithms Humans Nucleosomes Deep Learning Neural Networks, Computer Sequence Analysis, DNA
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Visualization Methods for DNA Sequences: A Review and Prospects.

Biomolecules Nov 14, 2024
The efficient analysis and interpretation of biological sequence data remain major challenges in bioinformatics. Graphical representation, as an emerging and effective visualization technique, offers a more intuitive method for analyzing DNA sequence...
DNA Computational Biology Sequence Analysis, DNA Humans Neural Networks, Computer Machine Learning
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Deep learning enables the use of ultra-high-density array in DNBSEQ.

Scientific reports Nov 13, 2024
DNBSEQ employs a patterned array to facilitate massively parallel sequencing of DNA nanoballs (DNBs), leading to a considerable boost in throughput. By employing the ultra-high-density (UHD) array with an increased density of DNB binding sites, the t...
Sequence Analysis, DNA Deep Learning DNA Image Processing, Computer-Assisted High-Throughput Nucleotide Sequencing
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Effect of graphene electrode functionalization on machine learning-aided single nucleotide classification.

Nanoscale Nov 7, 2024
Solid-state nanogap-based DNA sequencing with a quantum tunneling approach has emerged as a promising avenue due to its potential to deliver swift and precise sequencing outcomes. Nevertheless, despite significant progress, experimentally achieving s...
Graphite Electrodes Nucleotides Machine Learning Sequence Analysis, DNA DNA
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