Ekaterina Khrameeva
Orcid: 0000-0001-6188-9139
According to our database1,
Ekaterina Khrameeva
authored at least 11 papers
between 2012 and 2023.
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Bibliography
2023
HiConfidence: a novel approach uncovering the biological signal in Hi-C data affected by technical biases.
Briefings Bioinform., March, 2023
2020
A machine learning framework for the prediction of chromatin folding in <i>Drosophila</i> using epigenetic features.
PeerJ Comput. Sci., 2020
2018
J. Bioinform. Comput. Biol., 2018
Single-cell Hi-C demonstrates that TADs are stable units of Drosophila genome folding that persist in individual cells.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Nuclear lamina maintains global spatial organization of chromatin in Drosophila cultured cells.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Prediction of chromatin spatial structure characteristics using machine learning methods.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2016
History of chromosome rearrangements reflects the spatial organization of yeast chromosomes.
J. Bioinform. Comput. Biol., 2016
2012
Biases in read coverage demonstrated by interlaboratory and interplatform comparison of 117 mRNA and genome sequencing experiments.
BMC Bioinform., 2012
Evidence for Widespread Association of Mammalian Splicing and Conserved Long-Range RNA Structures.
Proceedings of the Research in Computational Molecular Biology, 2012