Quantitative Biology

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.

Examining the importance of protein-ligand interactions in model predictions.

A new tool improves predictions for chemical reaction yields using AI.

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.

Learn how atherosclerosis affects your heart and ways to combat it.

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 discusses using gene data for early Type 2 diabetes detection.

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.

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.

A look at how neural networks learn and adapt over time.

Research reveals how neural fluctuations influence learning effectiveness and speed.

DriftNet mimics biological learning processes to enhance AI's ability to learn continuously.

Exploring the role of traveling waves in brain function and artificial intelligence.

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.

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 models improve understanding of evolutionary relationships among species.

Exploring agroecology and its methods for sustainable farming practices.

How organisms adapt their strategies to survive changing conditions.

Examining how epidemic models reveal disease spread dynamics.

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

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

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

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

MRI radiomics improves glioblastoma diagnosis through genetic marker prediction.

GATher improves the prediction of drug targets using advanced graph technology.

A fresh approach to assess brain connectivity using structural equation modeling.

New methods clarify measurement noise in flow cytometry, enhancing data reliability.

Combining time-series and perturbation data improves understanding of cellular networks.

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.