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)

Current State of the Problem of Gene Expression Data Processing and Extraction to Solve the Reverse Engineering Tasks in the Field of Bioinformatics. - Sergii Babichev; Mykhailo Yasinskyi; Lyudmyla Yasinska-Damri; Yurii Ratushniak; Volodymyr Lytvynenko (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)

Application of Convolutional Neural Network for Gene Expression Data Classification. - Lyudmyla Yasinska-Damri; Sergii Babichev; Bohdan Durnyak; Tatiana Goncharenko (ISDMCI, 2022)

Formation and Analysis of Gene Expression Data Based on the Joint Use of Data Mining and Machine Learning Techniques. - Lyudmyla Yasinska-Damri; Sergii Babichev; Aleksander Spivakovsky; Oleksandr Lemeshchuk (IntelITSIS, 2023)