This repository provides a model of the MAPK and Akt pathways. Parameters and initial values are mainly based on biological assumptions. The model is therefore conceptual, and the purpose is to get a better understanding of the interactions between genes, that are important in some cancers.

A tool for visualizing gene regulatory networks

CUDA code for DE+PSO for Gene Regulatory Network inference

An experiment to tag ner entities related with biological molecular species using spaCy, fine-tuning a spacy's pipeline, and building a knowledge base of regulatory events, in order to model a gene regulatory network.

GRN-derived immune aging clock based on transcriptomics, developed by Jalil Nourisa in Prof. Yang Li's Lab

An experiment to tag ner entities related with biological molecular species using spaCy, fine-tuning a spacy's pipeline, and building a knowledge base of regulatory events, in order to model a gene regulatory network from them.

This is a repository for creating a UAV network based on the GRN graph using python.

python version of NestBoot-FDR

Estudio de las redes de regulación genética en el proceso de degeneración del ojo del pez de cueva Astyanax mexicanus

Quality assessment of astronomical images

Transcriptome analysis of oilseed rape genotypes

Inferring GRN from scRNA-seq data.

This project combines Generative AI and Logic AI to form an integrated process, a pipeline, that retrieves large volumes of scientific information and produces logical models that can be validated and leveraged by human experts. Our goals are to organize and to analyze knowledge with the assistance of AI and other bio-information retrieval tools.

Official Implementation of Context-Dependent Gene Regulatory Networks (CDGRNs)

Condition-Specific Gene Regulatory Network construction

SCANet is a python package that incorporates the inference of gene co-expression networks from single-cell gene expression data

Rodrigo García-Valiente, Elena Merino, Antoine van Kampen. ABM of the germinal center with implementation of SHM fate tree, sequence representation and PC/MBC gene network.

Novel statistical methodology for FDR(False Discovery Rate) analysis of Gene Regulatory Networks

a novel method of gene regulatory network structure inference

fully functional Java POS System. Please read the readme file and get start. Also if you find this project useful, consider giving it a star ⭐️.