Quantitative Biology

Research introduces Top-ML for better anticancer peptide prediction using topological features.

Contractile injection systems play a key role in viral infections.

Scientists use machine learning to improve antibody design for medical treatments.

New approaches in drug design prioritize molecule synthesizability for better outcomes.

CLP transforms molecular data into strings to enhance drug discovery.

Combining coding techniques and biological principles to improve DNA storage efficiency.

Exploring the role of DNA sequences in replication across various life forms.

Scientists now have a dataset to study protein behavior over time.

This model simplifies how electrical signals operate in excitable cells.

Explores how randomness in protein production stabilizes the N/C ratio in cells.

Study reveals how leukemia cells adapt to nutrient scarcity.

Explore how cells move in response to chemical signals and its significance.

This study reveals how cells maintain movement despite barriers.

Exploring how cells move together and communicate during biological processes.

Researchers aim to model how cells grow and specialize.

Amoeboid cells use pseudopods to make movement decisions based on chemical signals.

New model CFGen improves synthetic single-cell data generation for better research insights.

Exploring the role of DNA sequences in replication across various life forms.

A new model predicts barley flowering time and grain yield using genomic and environmental data.

A new dataset combines DNA sequences and enzyme function descriptions to enhance predictive models.

GV-Rep aims to improve the analysis of genetic variants for patient care.

Research reveals how machine learning can enhance understanding of schizophrenia's genetic factors.

A comprehensive guide for writers preparing articles for Oxford University Press.

A new method improves predictions of gene expression using gene regulatory networks.

Exploring the dynamics of complex interactions in reaction-diffusion systems.

Introducing MRBM for improved biological process representation.

This article examines how boundaries affect Markov chain convergence in biochemical systems.

Analyzing neural motifs in C. elegans reveals insights into nervous system function.

This article examines how bacteria use cAMP for environmental response and adaptation.

Exploring gene regulatory networks and their importance in cell function and stability.

New models improve understanding of gene activity and cell classification.

A new method improves predictions of gene expression using gene regulatory networks.

A new model uses human memory principles to enhance language model performance.

This article introduces a method for modeling neural activity using low-rank RNNs.

Research explores language processing in older adults for earlier NCD detection.

A new theory reveals insights into continual learning and forgetting in AI.

This study investigates brain connectivity during motor imagery tasks for better BCI interpretation.

Study examines how brain images reveal insights into primary progressive aphasia.

A new framework helps researchers align and analyze neuron activity data for memory studies.

A new method improves the analysis of neural data across brain regions.

This article examines the relationship between Petri nets and ODEs in epidemiological studies.

A look at how biological models work together to reveal system interactions.

Dareplane offers solutions for effective adaptive deep brain stimulation experiments.

Learn how GitHub improves organization and teamwork in lab research.

Biorecap helps researchers summarize recent studies for efficient information access.

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.

Study reveals indirect transmission's role in sarcoptic mange outbreaks.

Examining how population models shape genealogies and influence genetic algorithms.

Examining how life may have originated from basic chemical building blocks.

Exploring sideward contact tracing to improve disease management in large gatherings.

New models reveal complex recovery patterns of coral reefs after disturbances.

A combined model enhances insights into genetic diversity in populations.

An overview of how genetic traits evolve through the Wright-Fisher model.

This article examines how interactions among organisms and disturbances shape ecosystems.

Researchers use speculative decoding to enhance speed and efficiency in chemical predictions.

Research introduces Top-ML for better anticancer peptide prediction using topological features.

DMRIntTk integrates DMR sets for clearer insights into gene behavior.

A look at how DGGs improve understanding of dynamic interactions in systems.

A look at methods to measure collective behavior in biological systems.

A study on AI and optimization methods for cell differentiation parameter estimation.

Standardizing criteria can enhance AI tools for detecting basal cell carcinoma.

MOLTOP provides a straightforward way to classify molecular graphs effectively.

Exploring the transport of dense-core vesicles in nerve cells of roundworms.

Research reveals how Mycobacterium tuberculosis interacts with mitochondrial functions.

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

Introducing GP-VLS, a model enhancing surgical practice through integrated vision and language.

Wearable devices and algorithms aim to detect sepsis earlier for better patient care.

Research focuses on improving interface stability in solid-state batteries for cleaner transportation.

Study explores interactions between biodegradable and permanent implants for improved bone healing.

Learn how cysts respond to pressure and their implications in medicine.

HIPPO method enhances comprehension of AI models in tissue analysis.

Adaptive therapy offers a new approach to managing drug-resistant cancer cells.

This article examines how epithelial cells behave under compression.