Quantitative Biology

A novel method enhances drug-target prediction using machine learning techniques.

A fresh approach reveals how proteins bond in cell membranes.

New approach enhances generative models for efficient compound discovery.

A new approach to design molecules based on cellular effects.

CryoBench helps enhance cryo-EM method evaluation with diverse datasets.

DeepChem's updates make it easier for scientists to generate new molecules.

Introducing SimpleSBDD, a method streamlining drug discovery by optimizing binding affinity.

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

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.

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 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.

Exploring the connection between gaze, attention, and object recognition.

A new framework for understanding decision-making under uncertainty.

Research improves predictions of imagined images using brain activity data.

An exploration of the limits of human cognition and information processing.

This study examines how certain neurons maintain stability in the visual system amidst changes.

A look at how neurons evolve during brain development.

Researchers develop an automatic system for assessing incomplete hippocampal inversion.

Understanding misunderstandings between native and non-native speakers.

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.

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

A new method uses images to study species’ traits and evolution.

A look at how neurons evolve during brain development.

A look into how genes change in populations over time.

Explore how individual foraging choices affect population dynamics.

Exploring the links between biological relationships and electrical circuits.

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.

VariantKG aids researchers in analyzing genetic data and understanding health impacts.

Exploring the impact of soil organic carbon on soil health and agriculture.

Exploring how platelets interact and form clots in the body.

GraphAge utilizes DNA methylation data to accurately predict biological age.

Exploring new ways to create effective copolymers for various applications.

Explore the four-step Bayesian workflow for improved ecological modeling.

Research focuses on plant traits using advanced imaging and machine learning techniques.

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

Research reveals how Mycobacterium tuberculosis interacts with mitochondrial functions.

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

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.

Researchers aim to model how cells grow and specialize.