Genetics

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

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LMFE: A Novel Method for Predicting Plant LncRNA Based on Multi-Feature Fusion and Ensemble Learning.

: Long non-coding RNAs (lncRNAs) play a crucial regulatory role in plant trait expression and diseas...

Biological Prior Knowledge-Embedded Deep Neural Network for Plant Genomic Prediction.

Genomic prediction is a powerful approach that predicts phenotypic traits from genotypic informatio...

Anticancer drug response prediction integrating multi-omics pathway-based difference features and multiple deep learning techniques.

Individualized prediction of cancer drug sensitivity is of vital importance in precision medicine. W...

Critical Assessment of RNA and DNA Structure Predictions via Artificial Intelligence: The Imitation Game.

Computational predictions of biomolecular structure via artificial intelligence (AI) based approache...

A predictive model for MGMT promoter methylation status in glioblastoma based on terahertz spectral data.

O-methylguanine-DNA methyltransferase (MGMT) promoter methylation is a crucial biomarker in glioblas...

Machine Learning-Driven Quantum Sequencing of Natural and Chemically Modified DNA.

Simultaneous identification of natural and chemically modified DNA nucleotides at molecular resoluti...

N6-methyladenine identification using deep learning and discriminative feature integration.

N6-methyladenine (6 mA) is a pivotal DNA modification that plays a crucial role in epigenetic regula...

Exploring non-invasive biomarkers for pulmonary nodule detection based on salivary microbiomics and machine learning algorithms.

Microorganisms are one of the most promising biomarkers for cancer, and the relationship between mic...

Association of the characteristics of brain magnetic resonance imaging with genes related to disease onset in schizophrenia patients.

BACKGROUND: Schizophrenia (SCH) is a complex neurodevelopmental disorder, whose pathogenesis is not ...

CRISPR-MFH: A Lightweight Hybrid Deep Learning Framework with Multi-Feature Encoding for Improved CRISPR-Cas9 Off-Target Prediction.

BACKGROUND: The CRISPR-Cas9 system has emerged as one of the most promising gene-editing technologie...

Amogel: a multi-omics classification framework using associative graph neural networks with prior knowledge for biomarker identification.

The advent of high-throughput sequencing technologies, such as DNA microarray and DNA sequencing, ha...

Novel Multimodal Precision Medicine Approaches and the Relevance of Developmental Trajectories in Bipolar Disorder.

There is a pressing need to establish objective measures to improve diagnosis, prediction, preventio...

scCorrect: Cross-modality label transfer from scRNA-seq to scATAC-seq using domain adaptation.

Cell type annotation in single-cell chromatin accessibility sequencing (scATAC-seq) is crucial for e...

scMalignantFinder distinguishes malignant cells in single-cell and spatial transcriptomics by leveraging cancer signatures.

Single-cell RNA sequencing (scRNA-seq) is a powerful tool for characterizing tumor heterogeneity, ye...

SIMVI disentangles intrinsic and spatial-induced cellular states in spatial omics data.

Spatial omics technologies enable analysis of gene expression and interaction dynamics in relation t...

The mouse resource at National Resource Center for Mutant Mice of China.

Mouse models serve as the most important laboratory resource for both biomedical research and precli...

Circulating microRNA profiles are associated with acute pain and stress in castrated and tail docked lambs.

Maintaining animal welfare is an essential component of animal production systems. However, multiple...

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