AIMC Topic: Sequence Analysis, DNA
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Gut microbial composition associated with risk of premature aging in women with Yin-deficiency constitution.
Frontiers in cellular and infection microbiology
Jan 3, 2025
BACKGROUND: Yin-deficiency constitution (YinDC) refers to a traditional Chinese medicine concept, characterized by an imbalance state that includes an imbalance in the gut microbiota, resulting from a relative deficiency of Yin fluids within the body...
DNA promoter task-oriented dictionary mining and prediction model based on natural language technology.
Scientific reports
Jan 2, 2025
Promoters are essential DNA sequences that initiate transcription and regulate gene expression. Precisely identifying promoter sites is crucial for deciphering gene expression patterns and the roles of gene regulatory networks. Recent advancements in...
High-Risk Sequence Prediction Model in DNA Storage: The LQSF Method.
IEEE transactions on nanobioscience
Jan 2, 2025
Traditional DNA storage technologies rely on passive filtering methods for error correction during synthesis and sequencing, which result in redundancy and inadequate error correction. Addressing this, the Low Quality Sequence Filter (LQSF) was intro...
Optimizing sequence data analysis using convolution neural network for the prediction of CNV bait positions.
BMC bioinformatics
Dec 24, 2024
BACKGROUND: Accurate prediction of copy number variations (CNVs) from targeted capture next-generation sequencing (NGS) data relies on effective normalization of read coverage profiles. The normalization process is particularly challenging due to hid...
A sparse and wide neural network model for DNA sequences.
Neural networks : the official journal of the International Neural Network Society
Dec 19, 2024
Accurate modeling of DNA sequences requires capturing distant semantic relationships between the nucleotide acid bases. Most existing deep neural network models face two challenges: (1) they are limited to short DNA fragments and cannot capture long-...
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...
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...
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...
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...
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...
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