A new method improves accuracy in analyzing noisy biological sequences.
― 6 min read
Quantitative Biology - Genomics
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This study reviews vulnerabilities in AI models used for genomic applications.
― 7 min read
TEPI improves genome classification using images and taxonomy-aware techniques.
― 7 min read
A deep look into gene regulation and its impact on biology.
― 8 min read
Analyzing gene expression data's role in cancer classification through machine learning models.
― 7 min read
Explore how genome changes impact evolution and diversity.
― 5 min read
PhenoLinker enhances the prediction of gene-phenotype associations using advanced AI techniques.
― 7 min read
DiscDiff enhances DNA sequence generation using advanced machine learning techniques.
― 5 min read
Exploring how machine learning enhances understanding of pancreatic cancer through omics data.
― 6 min read
Lingo improves DNA analysis through advanced language model techniques.
― 5 min read
DNABERT-S improves DNA analysis with innovative embedding methods.
― 6 min read
Pangene improves analysis of gene variations in humans and bacteria.
― 6 min read
GhostKnockoffs enhances variable selection using summary statistics in genetics and beyond.
― 6 min read
Studying genes may lead to better treatments for hypopharyngeal and lung cancers.
― 5 min read
New methods improve understanding of gene interactions and cancer types.
― 8 min read
Caduceus improves genomic modeling by addressing DNA's complexities.
― 6 min read
CIBRA improves how researchers identify impactful genomic changes in cancer.
― 6 min read
A look at how BRAKER and Galba improve gene annotation in genomes.
― 6 min read
Research reveals genetic insights into bipolar disorder, aiming for better treatments.
― 5 min read
Learn about diploid genome assembly and the obstacles scientists face.
― 5 min read
LangCell combines cell data and natural language for better cell analysis.
― 7 min read
Efficient SNP identification reshapes genomic analysis and its applications in health.
― 6 min read
Introducing a new method for assessing data quality in machine learning.
― 8 min read
CAVACHON helps combine single-cell data to reveal complex biological relationships.
― 6 min read
DYNA improves the prediction of genetic variants for better patient care.
― 6 min read
STimage-1K4M combines detailed images and gene data to enhance disease research.
― 6 min read
A new system aims to improve speed and efficiency in analyzing genetic data.
― 6 min read
CGRclust offers an innovative method for classifying DNA sequences without prior labels.
― 7 min read
SeqMate makes RNA sequencing data processing easier for biologists.
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Using Genetic Programming to enhance DNA sequence analysis and predictions.
― 6 min read
Scientists develop a rapid approach to assess protein fitness effectively.
― 5 min read
New counting techniques improve analysis of large genomic datasets.
― 6 min read
New model CFGen improves synthetic single-cell data generation for better research insights.
― 4 min read
Exploring the role of DNA sequences in replication across various life forms.
― 6 min read
A new model predicts barley flowering time and grain yield using genomic and environmental data.
― 6 min read
A new dataset combines DNA sequences and enzyme function descriptions to enhance predictive models.
― 7 min read
GV-Rep aims to improve the analysis of genetic variants for patient care.
― 5 min read
Research reveals how machine learning can enhance understanding of schizophrenia's genetic factors.
― 5 min read
A comprehensive guide for writers preparing articles for Oxford University Press.
― 4 min read
A new method improves predictions of gene expression using gene regulatory networks.
― 7 min read
This study introduces a method to better classify cancer subtypes using omics data.
― 6 min read