Genetics

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

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A divide-and-conquer approach based on deep learning for long RNA secondary structure prediction: Focus on pseudoknots identification.

The accurate prediction of RNA secondary structure, and pseudoknots in particular, is of great impor...

Epigenome-wide association study identifies a specific panel of DNA methylation signatures for antenatal and postpartum depressive symptoms.

Depression during pregnancy and postpartum poses significant risks to both maternal and child well-b...

Specific expression and common potential therapeutic drugs in different brain regions of major depressive disorder patients: bioinformatics analysis.

Major depressive disorder (MDD) is a prevalent and debilitating mental health condition characterize...

TransAnno-Net: A Deep Learning Framework for Accurate Cell Type Annotation of Mouse Lung Tissue Using Self-supervised Pretraining.

BACKGROUND: Single-cell RNA sequencing (scRNA-seq) has become a significant tool for addressing comp...

Generative artificial intelligence, integrative bioinformatics, and single-cell analysis reveal Alzheimer's genetic and immune landscape.

The research aims to understand Alzheimer's genetic and immune landscapes using the amalgamation of ...

Artificial intelligence for RNA-ligand interaction prediction: advances and prospects.

Accurate prediction of RNA-ligand interactions is vital for understanding biological processes and a...

Artificial intelligence-driven genotype-epigenotype-phenotype approaches to resolve challenges in syndrome diagnostics.

BACKGROUND: Decisions to split two or more phenotypic manifestations related to genetic variations w...

A hybrid machine learning model with attention mechanism and multidimensional multivariate feature coding for essential gene prediction.

BACKGROUND: Essential genes are crucial for the development, inheritance, and survival of species. T...

Exploring hypoxia driven subtypes of pulmonary arterial hypertension through transcriptomics single cell sequencing and machine learning.

Pulmonary arterial hypertension (PAH) is a progressive cardiovascular disease characterized by eleva...

Leveraging TME features and multi-omics data with an advanced deep learning framework for improved Cancer survival prediction.

Glioma, a malignant intracranial tumor with high invasiveness and heterogeneity, significantly impac...

Role of artificial intelligence in advancing immunology.

Artificial intelligence (AI) has revolutionized various biomedical fields, particularly immunology, ...

Identification of potential riboswitch elements in Homo sapiens mRNA 5'UTR sequences using positive-unlabeled machine learning.

Riboswitches are a class of noncoding RNA structures that interact with target ligands to cause a co...

Definer: A computational method for accurate identification of RNA pseudouridine sites based on deep learning.

Pseudouridine is an important modification site, which is widely present in a variety of non-coding ...

Integrated codec decomposed Transformer for long-term series forecasting.

Recently, Transformer-based and multilayer perceptron (MLP) based architectures have formed a compet...

Development and validation of an interpretable machine learning model for diagnosing pathologic complete response in breast cancer.

BACKGROUND: Pathologic complete response (pCR) following neoadjuvant chemotherapy (NACT) is a critic...

Harnessing genotype and phenotype data for population-scale variant classification using large language models and bayesian inference.

Variants of Uncertain Significance (VUS) in genetic testing for hereditary diseases burden patients ...

Improved Pine Wood Nematode Disease Diagnosis System Based on Deep Learning.

Pine wilt disease caused by the pine wood nematode, , has profound implications for global forestry ...

Clinical performance of a machine learning-based model for detecting lymph node metastasis in papillary thyroid carcinoma: A multicenter study.

Papillary thyroid carcinoma (PTC) is a common endocrine malignancy with a generally favorable progno...

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