2014
DOI: 10.3389/fphy.2014.00020
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Statistical analysis of protein ensembles

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(2 citation statements)
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“…The "separation of the sub-components" [98] and the size of the holes can be obtained by considering the endpoints of the bars of components and holes. Hence, for each point cloud defined by the H3K9me3 blinking events detected in a nucleus, a normalized histogram showing the distribution of endpoints of the bars (=the highest α value of a bar) of components and holes was computed.…”
Section: Clustering and Persistent Homologies Of γH2ax Foci And Heterochromatinmentioning
confidence: 99%
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“…The "separation of the sub-components" [98] and the size of the holes can be obtained by considering the endpoints of the bars of components and holes. Hence, for each point cloud defined by the H3K9me3 blinking events detected in a nucleus, a normalized histogram showing the distribution of endpoints of the bars (=the highest α value of a bar) of components and holes was computed.…”
Section: Clustering and Persistent Homologies Of γH2ax Foci And Heterochromatinmentioning
confidence: 99%
“…The average distribution of the endpoints of bars within all nuclei of the given sample is shown in Figure 9 for non-irradiated cells in comparison to irradiated cells analyzed at different times PI. The "separation of the sub-components" [98] and the size of the holes can be obtained by considering the endpoints of the bars of components and holes. Hence, for each point cloud defined by the H3K9me3 blinking events detected in a nucleus, a normalized histogram showing the distribution of endpoints of the bars (=the highest α value of a bar) of components and holes was computed.…”
Section: Clustering and Persistent Homologies Of γH2ax Foci And Heterochromatinmentioning
confidence: 99%