Tag: deep learning in genomics

A new transformer-based deep learning framework called RefFree-Phaser achieves genotype phasing accuracies above 91 percent without the large reference panels ...

A new interpretable deep learning framework called EnhancerDetector identifies gene enhancers from DNA sequence alone across species from human to ...

An internationally validated deep learning model trained on genomes from more than 47,000 people can distinguish ALS patients from controls ...

A self-supervised language model called NucleicBERT offers researchers a new computational lens on the vast and poorly charted space of ...

Deep-learning analysis of single-nucleus multi-omic data from flatworms and vertebrates reveals that conserved motif vocabularies maintain cell type family identities ...

In a groundbreaking advancement for genomic research, scientists have unveiled DeepDETAILS, a novel deep-learning framework that dramatically enhances our ability ...

In the ever-evolving landscape of genomics and bioinformatics, the need for innovative approaches to analyze complex biological data is paramount. ...

In a groundbreaking study published in Nature, researchers have unveiled the existence of an ancient recombination desert on the X ...

In the rapidly evolving field of genomic science, the ability to predict how noncoding mutations influence gene expression has increasingly ...

In recent years, the field of genomics has witnessed remarkable advancements driven by the integration of artificial intelligence, particularly deep ...