Hi, I used the software. And I found the function of pipelineCNA has some plot problem. I would appreciate it if you could adjust it.
The two plots are below:
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The plots named ** “*OncoHeat2.png” ** and ** “*OncoHeat.png” ** appear to convey the same information, but they display noticeable differences. In particular, *_ “OncoHeat.png” _ is overly compressed horizontally. In addition, I could not find any parameters that allow customization of the plot width or height. As a result, the text elements overlap and become difficult to read.
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Additionally, I have a question regarding the analysis of epithelial cells. When performing this analysis, should I subset only epithelial cells, or is it also necessary to include immune cells as reference cells? I noticed that when I subset only epithelial cells, many of them are classified as normal cells, even though the sample is derived from tumor tissue.
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Similarly, I have read this paper, which states that normal cells can be identified automatically. However, I am not entirely certain about this, so I wanted to ask for clarification.

Hi, I used the software. And I found the function of pipelineCNA has some plot problem. I would appreciate it if you could adjust it.
The two plots are below:
The plots named ** “*OncoHeat2.png” ** and ** “*OncoHeat.png” ** appear to convey the same information, but they display noticeable differences. In particular, *_ “OncoHeat.png” _ is overly compressed horizontally. In addition, I could not find any parameters that allow customization of the plot width or height. As a result, the text elements overlap and become difficult to read.
Additionally, I have a question regarding the analysis of epithelial cells. When performing this analysis, should I subset only epithelial cells, or is it also necessary to include immune cells as reference cells? I noticed that when I subset only epithelial cells, many of them are classified as normal cells, even though the sample is derived from tumor tissue.
Similarly, I have read this paper, which states that normal cells can be identified automatically. However, I am not entirely certain about this, so I wanted to ask for clarification.