Aleksandra A. Galitsyna

Large-scale analysis of RNA-DNA interactions

Aleksandra A. Galitsyna, Anastasia Zharikova, Maria Logacheva, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Single-cell Hi-C demonstrates that TADs are stable units of Drosophila genome folding that persist in individual cells

Aleksandra A. Galitsyna, Sergey V. Razin, Vlada S. Zakharova, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Reconstruction of the chromatin 3D conformation from single cell Hi-C data

Mikhail S. Gelfand, Alexander V. Chertovich, Aleksandra A. Galitsyna, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Learning DNA folding patterns with Recurrent Neural Networks

Mikhail S. Gelfand, Michal Rozenwald, Grigory Sapunov, 2019 .

The chromatin structure of Dictyostelium discoideum

Mikhail S. Gelfand, Ekaterina Khrameeva, Aleksandra A. Galitsyna, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

HiChew: a Tool for TAD Clustering in Embryogenesis

Mikhail S. Gelfand, Aleksandra A. Galitsyna, Nikolai S. Bykov, 2020, ISBRA.

A machine learning framework for the prediction of chromatin folding in Drosophila using epigenetic features

Mikhail S. Gelfand, Michal Rozenwald, Grigory Sapunov, 2020, PeerJ Comput. Sci..

Nuclear lamina maintains global spatial organization of chromatin in Drosophila cultured cells

Mikhail S. Gelfand, Alexander V. Chertovich, Aleksandra A. Galitsyna, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).