Latest AI and machine learning research in genetics for healthcare professionals.
Advances in single-cell multimodal profiling have enabled a more systematic analysis of cellular bio...
Sodium azide mutagenesis offers a powerful approach to generate genetic diversity for rice improveme...
Fruit size and shape, which influence horticultural quality, are determined by the number and the si...
Detecting signatures of positive selection in genomes is a common application of population genetics...
Accurate identification of CRISPR arrays is essential for studying prokaryotic adaptive immunity, ye...
Predicting cellular responses to genetic and chemical perturbations remains a central challenge in s...
RNA interference (RNAi) is a crucial biological post-transcriptional gene silencing mechanism where ...
Radiogenomics enables the non invasive characterisation of the genomic and molecular properties of t...
DNA methylation (DNAm) is a key epigenetic modification that regulates gene expression and is pivota...
Neural scaling laws -- power-law relationships between loss, model size, and data -- have been exten...
Here, we introduce Detectrons, modular biosensors that couples programmable toehold switches with re...
Understanding how gene function emerges across molecular, cellular, and pharmacologic contexts remai...
Eukaryotic cells are spatially organized into functionally-distinct compartments. This three-dimensi...
Down syndrome (DS) is the most common genetic cause of intellectual disability, affecting one in 700...
Autism Spectrum Disorder (ASD) is a heterogenous condition that has no biologically relevant subtype...
Integrating the cellular resolution of single-cell RNA sequencing (scRNA-seq) with the phenotypic de...
Lung cancer is the leading cause of cancer-related mortality worldwide, predominantly affects older ...
Cancer evolution is driven by complex changes in gene expression as cells transition and change stat...
Artificial microRNAs (amiRNAs) offer a powerful strategy for targeted gene silencing, but their rati...
Vision-Language Models (VLMs) are known to inherit and amplify societal biases from their web-scale ...
Summary: A bioinformatics tool is presented for estimating recent effective population size by using...