influential
github.com/asalavaty/influentialA comprehensive R package for identifying and ranking influential nodes in biological and other complex networks. The package implements the Integrated Value of Influence (IVI), Experimental data-based Integrative Ranking (ExIR), SIRIR, and numerous network centrality measures, enabling network topology analysis, influential node detection, feature prioritization, and candidate biomarker discovery. It also provides functions for network reconstruction, centrality assessment, visualization, and analysis of relationships between centrality measures.
Sourced from
- bio.tools — influential
Related resources
Comprehensive collection of 125+ ready-to-use scientific skill modules for Claude AI across bioinformatics, cheminformatics, clinical research, ML, and materials science
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science with 140+ ready-to-use skills and 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Antigravity, and the open Agent Skills standard (K-Dense-AI, 26K+ stars, 2025)
Provides functionality for producing geometric representations of protein and RNA structures, and biological interaction networks.
An object-oriented, webGL based JavaScript library for online molecular visualization.
OpenChem is a deep learning toolkit for Computational Chemistry with PyTorch backend.
A Go library and command line utility for engineering organisms.