EBIC - AI-based parallel biclustering algorithm

A biclustering library with datasets, evaluation measures and a benchmarking framework

Subspace clustering and coclustering course at the School of Electrical and Computer Engineering (FEEC-UNICAMP)

Comparison of clustering methods for determining the operational states of a wastewater treatment plant (BSc project in Statistics) 🔧 🚰 🔄 ♻️ 💦

gBiBit: A multi-GPU biclustering algorithm for binary datasets

Implementation of the sparse singular value decomposition algorithm (Lee et al., 2010) to be used for Biclustering; Duke STA663 Final Project

Object-Attribute Biclustering for Genome-Wide Association Studies

Used generalized Bayesian and EM algorithms combined with a priori information for data biclustering.

A multiobjective framework for biclustering of gene expression data. NSGA - 2 is used, for achieving multi-objective optimization of the biclusters. Biclusters are optimized on 3 objective functions: MSR, Row Variance, Area.

gMSR: A multi-GPU algorithm to accelerate a massive validation of biclusters

Object-attribute biclustering, an early version

This repository contains code base of my Master Thesis work named under "Pattern Detection in Tabular Data with shallow hierarchy: A Visual Analytics Case Study for Narrative Visualization"

Secured Cheng and Church Algorithm performs encrypted computations such as sum, or matrix multiplication in Python for biclustering algorithm

Clustering exploration using the authors dataset

Co-clustering, also known as biclustering or block clustering, is a powerful data analysis technique that uncovers hidden structures in complex datasets.

Applying unsupervised learning methods to cereal nutritional data

SecBic-CCA: Secured Biclusterings - Cheng and Church Algorithm using CKKS scheme with Pyfhel Libary over gene expression data sets.

Multi-algorithm Ensemble Biclustering Method MoSBi | Publication: https://doi.org/10.1073/pnas.2118210119

Project for master thesis. It contain developed biclustering algorithm of gene expression data.

Python tool to generate biclustering and triclustering datasets programmatically.