Latest Articles for Biological Research

Examining how charge distribution in IDPs affects their behavior and functions.

HERMES predicts protein mutation effects, aiding in medical research and drug development.

Using gene expression data to predict chemical impacts on health and environment.

Innovative methods to retrieve time labels from noisy dynamical data.

DBGNNs improve information flow and prediction capabilities in machine learning.

This study models straight and circular swimmers in fluid dynamics.

New tools enhance analysis of spatial transcriptomics datasets for research.

This article examines the impact of big data on life sciences research.

A non-invasive technique captures real-time tissue stiffness changes in developing embryos.

A web-based tool making image analysis accessible for scientists without programming skills.

This innovative approach enhances imaging of biological samples without labels.

NeKo streamlines the process of creating biological interaction networks using data and knowledge.

A new method improves the efficiency of testing compounds in drug discovery.

CausalRegNet enhances causal structure learning through realistic data generation.

Research unveils important features for selecting successful antigens in antibody production.

A novel technique improves estimation of biological relationships from lower-level data.

A tool to streamline the analysis of large 3D biological images.

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

This article discusses a new method for classifying graphs using basic structural features.

New methods enhance imaging of large biological specimens using advanced techniques.

Exploring how GNNs can model interactions in complex systems.

Discover how active learning optimizes experiments in biological research.

Strategies to improve data accuracy in Magnetic Resonance Force Microscopy.

A new technique simplifies 3D segmentation using minimal human effort.

Using language and experimental data to improve gene predictions in single-cell research.

Examining dependencies and mean effects for improved modelling accuracy.

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

New imaging techniques enhance clarity of biological samples at small scales.

A new method improving cell segmentation in microscopy images for biological research.

Understanding dimension reduction techniques for complex healthcare data analysis.

ProteinWeaver helps researchers visualize protein interactions and their roles in biological functions.

Kaizen improves computer image analysis for enhanced medical diagnostics.

MultiCOAP improves analysis of count data from multiple studies, addressing complexity and overdispersion.

A new model enhances the analysis of gene expression in tissues using SRT data.

A new algorithm improves counting of temporal motifs in complex networks.

Microbes use smart techniques to find moving food sources in their environment.

Learn how adjacency labeling optimizes graph data storage and analysis.

Introducing advanced processes for effective circular data analysis across various fields.

Researchers develop a method to infer rules governing synaptic changes in learning.

GIFFLAR improves glycan property predictions using graph neural networks.