dualguide - progress

• goal: demonstrate the importance of barcoding by showing that relying solely on tumor burden results in loss of information
• volcano plots (fig1_volcano_plots.pdf)
• x-axis: log2(original value), y-axis: -log10(p value)
• 90th percentile, ln_mean, n_of_tumors, tumor burden
• results
• more negative effects with number of tumors
• possible correlation between 90th and lnMean and tumor burden
• note
• remember we discussed that the titer was not calculated as usual, if exact numbers are needed, i will verify them
• "4type plots" (fig2_4type_plots.pdf)
• two growth measurements, a pair (ie. Apc_Lkb1 and we calculate the effect from Apc and from Lkb1 as well, so more points on the plot)
• 4 types:
• not significant with either growth measurements
• significant with both growth measurements
• significant with only the first gm
• significant with only the second gm
• our plots: one growth measurement is always the tumor burden, so we have three plots:
• tb vs 90th, tb vs lnmean, tb vs number of tumors
• significant results
• 90th << tumor burden
• lnmean < tumor burden
• number of tumors >> tumor burden
• "arrow figures" (fig3_arrow_figures.pdf)
• for each pair we have a figure for each growth measurements
• y-axis: growth measurement value
• x-axis: inert - A - AB - B - inert
• arrows
• color: positive or negative effect
• solid-dashed: significant or not
• different results with each growth measurements