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ORCIDLyudmyla Yasinska-Damri
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2020 – today
- 2023
[c6]Lyudmyla Yasinska-Damri, Sergii Babichev, Aleksander Spivakovsky, Oleksandr Lemeshchuk:
Formation and Analysis of Gene Expression Data Based on the Joint Use of Data Mining and Machine Learning Techniques. IntelITSIS 2023: 87-98- 2022
- [c5]Lyudmyla Yasinska-Damri, Sergii Babichev, Igor Liakh:
Comparison Analysis of the Pearson's Phi-Square Test and Correlation Metric Effectiveness to Form the Subset of Differently Expressed and Mutually Correlated Genes. IntelITSIS 2022: 93-102 - [c4]Lyudmyla Yasinska-Damri
, Sergii Babichev, Bohdan Durnyak, Tatiana Goncharenko:
Application of Convolutional Neural Network for Gene Expression Data Classification. ISDMCI 2022: 3-24 - 2021
- [j1]Sergii Babichev, Lyudmyla Yasinska-Damri, Igor Liakh, Bohdan Durnyak:
Comparison Analysis of Gene Expression Profiles Proximity Metrics. Symmetry 13(10): 1812 (2021) - [c3]Lyudmyla Yasinska-Damri, Igor Liakh, Sergii Babichev, Bohdan Durnyak:
Evaluation of the Gene Expression Profiles Complex Proximity Metric Effectiveness Based on a Hybrid Technique of Gene Expression Data Extraction. IDDM 2021: 150-160 - [c2]Sergii Babichev, Mykhailo Yasinskyi, Lyudmyla Yasinska-Damri, Yurii Ratushniak, Volodymyr Lytvynenko:
Current State of the Problem of Gene Expression Data Processing and Extraction to Solve the Reverse Engineering Tasks in the Field of Bioinformatics. IntelITSIS 2021: 62-71 - [c1]Lyudmyla Yasinska-Damri, Ihor Liakh, Sergii Babichev, Bohdan Durnyak:
Current State of Methods, Models, and Information Technologies of Genes Expression Profiling Extraction: A Review. ISDMCI 2021: 69-81
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