Methods of Converting Weight Sequences in Digital Subtraction Filtration. - Oleksandr Tymchenko; Bohdana Havrysh; Orest Khamula; Bohdan Kovalskyi; Svitlana Vasiuta; Igor Liakh (CSIT (2), 2019)

Evaluation of the Gene Expression Profiles Complex Proximity Metric Effectiveness Based on a Hybrid Technique of Gene Expression Data Extraction. - Lyudmyla Yasinska-Damri; Igor Liakh; Sergii Babichev; Bohdan Durnyak (IDDM, 2021)

Modeling with Fuzzy Logic the Migration Capacity of UV-ink Components as a Factor of Potentially Harmful Pollution of Packaging. - Vyacheslav Repeta; Valeriy Zhydetskyy; Olga Cherednichenko; Ihor Liakh (IntelITSIS, 2021)

Current State of Methods, Models, and Information Technologies of Genes Expression Profiling Extraction: A Review. - Lyudmyla Yasinska-Damri; Ihor Liakh; Sergii Babichev; Bohdan Durnyak (ISDMCI, 2021)

Comparison Analysis of Gene Expression Profiles Proximity Metrics. - Sergii Babichev; Lyudmyla Yasinska-Damri; Igor Liakh; Bohdan Durnyak (Symmetry, 2021)

Comparison Analysis of the Pearson's Phi-Square Test and Correlation Metric Effectiveness to Form the Subset of Differently Expressed and Mutually Correlated Genes. - Lyudmyla Yasinska-Damri; Sergii Babichev; Igor Liakh (IntelITSIS, 2022)

Formation of Subsets of Co-expressed Gene Expression Profiles Based on Joint Use of Fuzzy Inference System, Statistical Criteria and Shannon Entropy. - Igor Liakh; Sergii Babichev; Bohdan Durnyak; Iryna Gado (ISDMCI, 2022)

Applying Convolutional Neural Network for Cancer Disease Diagnosis Based on Gene Expression Data. - Sergii Babichev; Ihor Liakh; Vasyl Morokhovych; Andrii Honcharuk; Anatolii Balanda; Oleksandr Zaitsev (IDDM, 2023)

A Hybrid Inductive Model for Gene Expression Data Processing Using Spectral Clustering. - Sergii Babichev; Oleg Yarema; Ihor Liakh (IDDM, 2024)

Integrative Approach to Gene Expression Data Analysis: Combining Biclustering Techniques with Gene Ontology. - Sergii Babichev; Oleg Yarema; Ihor Liakh; Andrii Honcharuk (ISDMCI (1), 2024)

Project of an information system for restaurant business management. - Vasyl Morokhovych; Ihor Liakh; Vasyl Kut; Vitalii Petrus; Bohdan Morokhovych (ITPM, 2024)

Applying the Deep Learning Techniques to Solve Classification Tasks Using Gene Expression Data. - Sergii Babichev; Igor Liakh; Irina Kalinina (IEEE Access, 2024)

Integrating Data Mining, Deep Learning, and Gene Ontology Analysis for Gene Expression-Based Disease Diagnosis Systems. - Sergii Babichev; Igor Liakh; Jirí Skvor (IEEE Access, 2025)