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A quantitative assessment of the ability of carbon ions to induce double-strand breaks.
The purpose of this study was to determine the induction of double-strand breaks (DSBs) in the V79 Chinese hamster lung cell line by carbon ion radiation. DSBs were quantified using a modified comet assay. The induction of DSBs was measured at each dose level and at each time point post-irradiation, and then the dose-response relationships for DSB induction were calculated. DSBs were induced by carbon ion radiation for 1 h at doses as low as 2 Gy. The maximum induced DSB yield of approximately 6000 DSBs/cell was observed at 16 Gy. However, the dose-response relationship for the induction of DSBs was not a simple linear function, but rather exhibited a characteristic dose-dependence at higher doses. The dose-response relationship for the induction of DSBs in carbon ion-irradiated cells appeared to have a shoulder at approximately 12 Gy, at which point the slope of the dose-response curve changed. The shoulder at 12 Gy was attributed to an interaction between the induction of DSBs and another biological endpoint.Q:
How to create an actual linear trendline in plotly in Python
I have some time series data that I am trying to create a line chart from. I have a lot of data so I decided to use plotly.plotting.scatter_points to plot a time series, but the problem is that it can't plot lines. I would like to know how to create a linear trendline using plotly.plotly in Python, I tried to plot a line using a specific x and y position, but I can't find any way to set the trendline.
Thank you
A:
Found the answer here:
using the code from the post, it becomes:
import numpy as np
import matplotlib.pyplot as plt
import plotly.offline as py
import plotly.graph_objs as go
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(np.arange(5), np.arange(5)) ac619d1d87
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