Parse-seq vs 10X and TrailMaker vs Scanpy : Fixed All Programs

Condition Effects on Cell Population

Cell Counts Per Condition

Significant Conditions Affecting Cell Counts ( p.value < 0.05 )

                  contrast  estimate       SE  df   z.ratio     p.value
1        dmso - ihk44_20nM  4462.246 1263.234 Inf  3.532398 0.015021550
2 ihk44_100nM - ihk44_20nM  4850.000 1425.059 Inf  3.403369 0.023350441
3   ihk44_20nM - ihk44_5nM -5354.000 1425.059 Inf -3.757038 0.006629718

Condition Effects on Cell Type

Heatmap

Significant Cell Fraction Changed at each celltype (p.value < 0.05)

                          contrast    estimate      celtype    p.value
1      primary_manual - primary_s2  0.05402968  frac_Cancer 0.02238544
2      primary_manual - primary_s2 -0.04012081 frac_Myeloid 0.03323722
3 primary_manual - primary_octomac -0.01314129  frac_T.cell 0.03799477

Condition Effects on Program (selected >20%)

Heatmap

No Significant Cell Fraction/Sample Alteration (p.value < 0.5)

                          contrast     estimate              program   p.value
1      primary_manual - primary_s2 -0.017788532        frac_Monocyte 0.3150651
2     primary_octomac - primary_s2 -0.019931139        frac_Monocyte 0.2349437
3      primary_manual - primary_s2  0.003367133      frac_Neutrophil 0.2991916
4      primary_manual - primary_s2  0.017204078    frac_ComplementS. 0.4313889
5 primary_manual - primary_octomac  0.019691138 frac_HypoxiaResponse 0.3422627
6      primary_manual - primary_s2  0.002062495          frac_HS_UPR 0.3053575
7 primary_manual - primary_octomac -0.023711699            frac_G1_S 0.3090103