Genetics

Latest AI and machine learning research in genetics for healthcare professionals.

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Can mutation abundance assess the biological behavior of BRAF-positive papillary thyroid carcinoma?

BACKGROUND: BRAF mutation is the most common genetic change in papillary thyroid carcinoma (PTC). Ne...

Ensemble machine learning-based pre-trained annotation approach for scRNA-seq data using gradient boosting with genetic optimizer.

Single-cell RNA sequencing (scRNA-seq) has revolutionized the study of gene expression by allowing r...

Leveraging autoencoder models and data augmentation to uncover transcriptomic diversity of gingival keratinocytes in single cell analysis.

Periodontitis, a chronic inflammatory condition of the periodontium, is associated with over 60 syst...

A transformer model for de novo sequencing of data-independent acquisition mass spectrometry data.

A core computational challenge in the analysis of mass spectrometry data is the de novo sequencing p...

Predict the degree of secondary structures of the encoding sequences in DNA storage by deep learning model.

DNA storage has been widely considered as a promising alternative for exponentially growing data. Ho...

Machine learning unveils hypoxia-immune gene hub for clinical stratification of thyroid-associated ophthalmopathy.

Thyroid-associated ophthalmopathy (TAO) is an autoimmune disorder affecting the orbit, potentially r...

Machine learning-assisted decoding of temporal transcriptional dynamics via fluorescent timer.

Investigating the temporal dynamics of gene expression is crucial for understanding gene regulation ...

In-silico 3D molecular editing through physics-informed and preference-aligned generative foundation models.

Generating molecular structures towards desired properties is a critical task in computer-aided drug...

Optimizing piezoelectric actuator placement for enhanced vibration control using genetic algorithms.

Active vibration control in flexible structures remains a critical challenge in engineering applicat...

AI-enabled drug prediction and gene network analysis reveal therapeutic use of vorinostat for Rett Syndrome in preclinical models.

BACKGROUND: Many neurodevelopmental genetic disorders, such as Rett syndrome, are caused by a single...

Identification of CXCR4 as a potential preventive gene in clear cell renal cell carcinoma from machine learning and immune analysis.

Clear cell renal cell carcinoma (ccRCC) represents a prevalent malignant kidney tumor characterized ...

Potential role of TNFRSF12A in linking glioblastoma and alzheimer's disease via shared tumour suppressor pathways.

Tumor suppressor genes (TSGs) are critical regulators of cellular homeostasis and are extensively st...

Deep learning-driven drug response prediction and mechanistic insights in cancer genomics.

In the field of cancer therapy, the diversity and heterogeneity of cancer genomes in clinical patien...

A genetic algorithm-based ensemble model for efficiently identifying interleukin 6 inducing peptides.

Interleukin-6 (IL-6) is a cytokine with diverse biological activities that contribute to a variety o...

Identifying ovarian cancer with machine learning DNA methylation pattern analysis.

The majority of patients with epithelial ovarian cancer (EOC) continue to be diagnosed at an advance...

Comprehensive datasets for RNA design, machine learning, and beyond.

RNA molecules are essential in regulating biological processes such as gene expression, cellular dif...

RiNALMo: general-purpose RNA language models can generalize well on structure prediction tasks.

While RNA has recently been recognized as an interesting small-molecule drug target, many challenges...

Quantifying complexity in DNA structures with high resolution Atomic Force Microscopy.

DNA topology is essential for regulating cellular processes and maintaining genome stability, yet it...

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