Quantitative Biology

New tokenizers enhance molecular modeling by improving representation of chemical structures.

Enhancing usability and reproducibility of drug response prediction in cancer research.

GIFFLAR improves glycan property predictions using graph neural networks.

New methods improve RNA distance predictions using advanced machine learning techniques.

Discover how training-free guidance is transforming molecular generation with discrete diffusion models.

GameOpt innovates protein design through efficient optimization techniques.

PocketFlow enhances protein pocket design using protein-ligand interaction knowledge.

A new approach in drug design improves understanding of protein flexibility.

A new model enhances understanding of how bacteria grow and thrive.

Examining how asymmetric division influences colon cancer cell growth.

This article examines the link between cell adhesion and tissue fluidity.

Hes1 oscillation is key to proper brain cell development and communication.

Learn about capsular contracture, its causes, and how it affects breast reconstruction.

This article discusses how scientists study heart rhythms and arrhythmias.

Cells make choices that shape life; explore how they decide their fate.

Examining how tumor cells choose between migrating and growing.

K-mers offer a fresh approach to understanding genetic diversity in populations.

Discover how RNA-GPT is revolutionizing research on RNA and its functions.

PathoGen-X combines imaging and genomic data for better cancer survival predictions.

Researchers develop a faster method to predict how cells react to treatments.

K-mers help scientists piece together DNA fragments for better microbial understanding.

Shapley values enhance decision-making in DNA profiling and related fields.

New methods improve RNA assembly efficiency and accuracy using safe paths and sequences.

Using machine learning to clarify the significance of genetic variants.

This article explains monotonicity and non-expansivity in reaction networks.

Explore how networks evolve using duplication-divergence models and divergence asymmetry.

A fresh approach to control biological populations using Kullback–Leibler divergence.

A fresh approach offers deeper insights into cancer driver genes and their interactions.

Study reveals how Q phage adapts to different temperatures via genotype networks.

Hes1 oscillation is key to proper brain cell development and communication.

Learn how gene regulation works using a restaurant analogy.

A look at how technology helps chemists find efficient reaction routes.

Exploring how emotions and fairness affect financial decisions in game scenarios.

Research highlights working memory constraints in Transformer models during complex tasks.

AI is transforming how researchers create virtual cells to study biological processes.

A new model improves identification of brain disorders using innovative network analysis.

A new method improves decision-making analysis with neural networks in Bayesian frameworks.

Examining the rates at which the brain's nerve cells process information.

Study reveals how EEG can track visual focus amidst distractions.

Explore how the brain processes information, memories, and emotions.

This article outlines the essentials of a successful benchmarking system in bioinformatics.

F-BIAS connects analysts and researchers to improve bioimage analysis services.

Learn about new methods for improving microscopy image clarity using AI.

A new system simplifies benchmarking for better tool evaluation in bioinformatics.

Research merges SERS and deep learning for better health diagnostics using urine samples.

Biomarkers guide personalized treatments and improve health assessments.

Explore how John Hopfield's work reshapes AI and our understanding of life.

A new approach enhances molecular sequence analysis using the Hilbert curve.

Exploring how mating preferences drive the formation of new species.

Research reveals potential for land plants to adapt longer to climate changes.

A study on how surroundings influence organism aggregation.

K-mers offer a fresh approach to understanding genetic diversity in populations.

Exploring how species interactions shape ecosystem dynamics and stability.

Learn how agent-based modeling and random numbers aid health research.

How learning and teamwork shape evolutionary processes.

A look at how diversity indices impact biodiversity conservation efforts.

New technologies aim to improve care for patients with rare gynecological cancers.

Research reveals new findings on the toxicity of PFAS and their health effects.

AI is transforming how researchers create virtual cells to study biological processes.

Learn how agent-based modeling and random numbers aid health research.

New AI methods improve proton therapy planning for cancer treatment.

Using machine learning to model electrical signals in the heart.

A look at how conformal prediction improves uncertainty quantification in biology.

bioSBM connects DNA structure with biochemical features for better gene expression understanding.

Research reveals how Mycobacterium tuberculosis interacts with mitochondrial functions.

Investigating how cells decide their roles in a complex biological environment.

This article examines the mechanics of tissue shape changes during animal development.

New techniques aim to improve prostate cancer treatment through data-driven models.

Study reveals surprising behavior of pigment cells in squid skin as they grow.

PathoGen-X combines imaging and genomic data for better cancer survival predictions.

Learn about capsular contracture, its causes, and how it affects breast reconstruction.

Discover how zebrafish form their unique stripes through cell interaction.

Examining heart cell differences can improve cardiac modeling and health care.

New approaches aim to improve cancer treatment effectiveness and patient care.