Quantitative Biology

AI methods are changing how scientists predict molecular properties for various applications.

A new method combines models to enhance molecule design for drugs and materials.

A new system creates molecules directly from written instructions, improving efficiency.

A novel approach enhances predictions of protein-RNA binding interactions for better disease insights.

ProteinGPT simplifies protein study through an interactive chat system.

New methods improve molecule creation for drugs and materials.

Exploring how quantum computing can improve the drug development process.

ATAC-Diff enhances scATAC-seq data quality and analysis through innovative techniques.

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.

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

Examining how asymmetric division influences colon cancer cell growth.

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

This study introduces a method to better classify cancer subtypes using omics data.

Research shows meta-learning improves lung cancer detection using gene expression data.

A new method improves the analysis of single-cell RNA sequencing data.

This method improves data analysis efficiency in large, complex datasets.

Exploring the impact of single-cell analysis on biological research and methods.

Wave-LSTM improves analysis of copy number alterations in cancer.

ATAC-Diff enhances scATAC-seq data quality and analysis through innovative techniques.

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 groundbreaking quantum algorithm improves the search for attractors in gene regulatory networks.

This article explores the role of reaction networks in biological processes and sensitivity analysis methods.

Discover how active learning optimizes experiments in biological research.

Research reveals the impact of fluctuations on biological systems like p53.

Examining particle interactions is key to advances in biology and chemistry.

Research introduces models for better predicting Alzheimer's disease development.

Biocomputing uses biological materials for efficient and energy-saving computation.

Examining how humans and machines can collaborate for better decision-making outcomes.

Research shows how repeated exposure improves image recognition in the brain.

A new method improves predictions from fMRI data using limited samples.

This study examines variations in brain structure aging among diverse populations.

This article examines how noise and connections shape neuronal activity patterns.

Analyzing neural systems at multiple levels enhances insights into behavior and decision-making.

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.

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.

New methods improve understanding of population dynamics through genetics.

A new approach to understanding COVID-19 dynamics and predictions in Germany.

Flusion combines data sources for accurate influenza hospital admission forecasts.

Examining the similarities and differences between biological and machine learning circuits.

Examining how varying environmental conditions influence population dynamics.

Examining how reputation influences cooperation and the role of institutions.

Study reveals climate's role in dengue and chikungunya outbreaks across Brazil.

An analysis of testing methods and their impact on reported COVID-19 cases.

A fresh approach improves accuracy in estimating biological age from DNA methylation.

A novel approach to estimating blood flow using machine learning techniques.

A new method for generating peptides with single sequence input enhances drug discovery.

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

This study introduces a method to better classify cancer subtypes using omics data.

This study assesses AI accuracy in diagnosing malaria across different healthcare settings.

Study reveals how leukemia cells adapt to nutrient scarcity.

This article explores the role of reaction networks in biological processes and sensitivity analysis methods.

Research reveals how Mycobacterium tuberculosis interacts with mitochondrial functions.

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

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.

Researchers aim to model how cells grow and specialize.

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.