Research Articles
SoupX in Single-Cell RNA-seq: A Comprehensive Guide to Empty Droplet Estimation and Background Noise Removal
This article provides a detailed guide to the SoupX R package for accurate estimation and removal of ambient RNA contamination in single-cell RNA-sequencing data.
SPARK-X vs Moran's I: A Comprehensive Guide to Spatial Transcriptomics Gene Detection for Biomedical Researchers
This article provides a detailed comparative analysis of two principal methods for identifying spatially variable genes (SVGs) in transcriptomic data: the classical Moran's I statistic and the modern SPARK-X model.
The SKI Protocol for High-Dimensional Variable Selection: A Comprehensive Guide for Biomedical Researchers
This article provides a detailed guide to the Sure Independence Screening (SIS) and its improved Knockoff Iteration (SKI) protocol for variable screening in high-dimensional data.
SHAKE Algorithm & Hydrogen Mass Repartitioning: A Guide to Constraint Bonds for Enhanced MD Simulations in Drug Discovery
This article provides a comprehensive guide for computational researchers on integrating the SHAKE constraint algorithm with Hydrogen Mass Repartitioning (HMR) to enable larger timesteps and longer, more efficient Molecular Dynamics...
SBML vs CellML: A Complete Guide for Systems Biology and Drug Development Modelers
This article provides researchers and drug development professionals with a comprehensive comparison of SBML (Systems Biology Markup Language) and CellML, the two leading XML-based formats for computational biological modeling.
Mastering SBML: A Complete Tutorial for Encoding Biological Models in Biomedical Research
This comprehensive tutorial provides researchers, scientists, and drug development professionals with a complete guide to the Systems Biology Markup Language (SBML).
RoseTTAFold Demystified: How the Three-Track Neural Network Revolutionizes Protein Structure Prediction and Drug Discovery
This comprehensive guide explores the RoseTTAFold three-track neural network, a groundbreaking AI system for predicting protein structures from amino acid sequences.
Beyond Structure: How RoseTTAFold Accurately Predicts Mutation Effects for Drug Discovery
This article provides a comprehensive guide for researchers and drug development professionals on using RoseTTAFold for predicting the effects of protein mutations.
RoseTTAFold Accuracy for Protein Structure Prediction: A Comprehensive Guide for Researchers and Drug Developers
This article provides a detailed analysis of the accuracy of RoseTTAFold for protein structure prediction, targeting researchers, scientists, and drug development professionals.
RoseTTAFold All-Atom: A Complete Guide to Modeling Biomolecular Complexes for Drug Discovery
This comprehensive guide explores RoseTTAFold All-Atom (RFAA), a revolutionary deep-learning system that integrates sequence, structure, and chemical information to predict the 3D structures of biomolecular complexes, including proteins, nucleic acids,...