sunduanchen
commented
3 weeks ago Hi Siqi
Your consideration is correct. This cutoff is not a fixed parameter.
We used cutoff = 0.2 to show the effectiveness of Scissor. In real applications, you can change this number according to your requirement.
Hope this helps.
Best, Duanchen
On Thu, 31 Oct 2024 at 23:22, alohasiqi @.***> wrote:
Hello,
I have a question regarding the cutoff value of 0.2 for the maximum number of Scissor-selected cells. This means that the number of Scissor-selected cells should not exceed 20% of the total cells in the single-cell dataset. What is the rationale behind setting this value? Biologically, this implies that the cell type being tested will contribute equally to the disease (~20% of the cell population). However, in reality, a large number of T cells are likely to contribute more to immune-related diseases compared to a smaller number of neuronal cells. I would appreciate your insights on this matter. Thanks!
Best, Siqi
— Reply to this email directly, view it on GitHub https://github.com/sunduanchen/Scissor/issues/67, or unsubscribe https://github.com/notifications/unsubscribe-auth/AEYQWDFILC4KBRDJ6QXK2UTZ6JDNDAVCNFSM6AAAAABQ6RBRP6VHI2DSMVQWIX3LMV43ASLTON2WKOZSGYZDOMJTGUYDAMQ . You are receiving this because you are subscribed to this thread.Message ID: @.***>
Hello,
I have a question regarding the
cutoffvalue of 0.2 for the maximum number of Scissor-selected cells. This means that the number of Scissor-selected cells should not exceed 20% of the total cells in the single-cell dataset. What is the rationale behind setting this value? Biologically, this implies that the cell type being tested will contribute equally to the disease (~20% of the cell population). However, in reality, a large number of T cells are likely to contribute more to immune-related diseases compared to a smaller number of neuronal cells. I would appreciate your insights on this matter. Thanks!Best, Siqi