Description Usage Arguments Value
applies new row to data frame
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | append_data_frame(
WT_str,
KO_str,
WT_out,
KO_out,
img_file,
foci_areas,
df_cells,
cell_count,
stage,
foci_per_cell,
image_mat,
percent_px,
alone_foci,
discrepant_category,
C1
)
|
WT_str |
string in filename corresponding to wildtype genotype. Defaults to ++. |
KO_str |
string in filename corresponding to knockout genotype. Defaults to –. |
WT_out |
string in output csv in genotype column, for knockout. Defaults to +/+. |
KO_out |
string in output csv in genotype column, for knockout. Defaults to -/-. |
img_file |
cell's file name |
foci_areas |
pixel area of each foci |
df_cells |
current data frame |
cell_count |
unique cell counter |
stage, |
meiosis stage of interest. Currently count_foci determines this with thresholding/ object properties in the synaptonemal complex channel by previosly calling the get_pachytene function. Note that if using this option, the count_foci function requires that the input directory contains a folder called “pachytene” with the crops in it. |
foci_per_cell |
foci count for cell |
image_mat |
matrix with all pixel values above zero |
percent_px |
percentage of foci mask that coincides with strand channel small number indicates potentially problematic image. |
alone_foci |
estimated number of foci that are NOT on a strand. |
discrepant_category |
estimated number of foci that are NOT on a strand. |
C1 |
criteria |
data frame with new row
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