Discovering Low Overlapping Biclusters in Gene Expression Data Through Generic Association Rules. - Amina Houari; Wassim Ayadi; Sadok Ben Yahia (MEDI, 2015)

Mining Negative Correlation Biclusters from Gene Expression Data using Generic Association Rules. - Amina Houari; Wassim Ayadi; Sadok Ben Yahia (KES, 2017)

NBF: An FCA-Based Algorithm to Identify Negative Correlation Biclusters of DNA Microarray Data. - Amina Houari; Wassim Ayadi; Sadok Ben Yahia (AINA, 2018)

Contributions to Biclustering of Microarray Data Using Formal Concept Analysis. - Amina Houari (CoRR, 2018)

A new FCA-based method for identifying biclusters in gene expression data. - Amina Houari; Wassim Ayadi; Sadok Ben Yahia (Int. J. Mach. Learn. Cybern., 2018)

Top-K Formal Concepts for Identifying Positively and Negatively Correlated Biclusters. - Amina Houari; Sadok Ben Yahia (MEDI, 2021)

DeBic: A Differential Evolution Biclustering Algorithm for Microarray Data Analysis. - Younes Charfaoui; Amina Houari; Fatma Boufera (ICAITA, 2022)

AMoDeBic: An adaptive Multi-objective Differential Evolution biclustering algorithm of microarray data using a biclustering binary mutation operator. - Younes Charfaoui; Amina Houari; Fatma Boufera (Expert Syst. Appl., 2024)

A Top-K formal concepts-based algorithm for mining positive and negative correlation biclusters of DNA microarray data. - Amina Houari; Sadok Ben Yahia (Int. J. Mach. Learn. Cybern., 2024)