Ganeshiny

biostat-simulations

Some simulations I made to learn biostatistic concepts in R and Python

network-based-candidate-gene-predictor

Here is a Python program that's used to predict the function of unknown proteins in PPI networks. This program uses NetworkX to create the graph objects from a PPI network file from the STRING database, given as a .txt format file. This program provides options for predicting the candidate gene for single or multiple functions.

plant-go-predictor

tfbs-predictor

Deep learning model that uses sequences to find transcription factor binding sites.

amr-2024-team-sridharan

This repository contains tools and resources developed by Team Sridharan during the "Resistance is Futile: A Codeathon to Combat Antimicrobial Resistance" (September 2024), hosted by NCBI and NIAID.

Ganeshiny/network-based-candidate-gene-predictor

Here is a Python program that's used to predict the function of unknown proteins in PPI networks. This program uses NetworkX to create the graph objects from a PPI network file from the STRING database, given as a .txt format file. This program provides options for predicting the candidate gene for single or multiple functions.

Ganeshiny/plant-go-predictor

Ganeshiny/biostat-simulations

Some simulations I made to learn biostatistic concepts in R and Python

Ganeshiny/tfbs-predictor

Deep learning model that uses sequences to find transcription factor binding sites.