Table I.

Results from the whole genome RNAi screen for the stellate phenotype

Gene name CG No. of corners Fast Fourier trans Decision tree Cell No. 
Arp2/3 complex      
P16-ARC 9881 0.87 
Sop2 8978 1.39 
Arp14D 9901 0.87 
Arp66B 7558 15 1.95 
Arc-p34 10954 3a 0.55 
Arc-p20 5972 8a 1.59 
WAVE complex      
Abi 9749 14 18 1.17 
Sra1 4931 0.97 
Scar 4636 0.61 
Hem1 5837 23 14 20 1.25 
Other      
Rac1 2248 24 51 44 0.35 
Rac2 8556 561 37 143 1.69 
CK1α 2028 11 10 12 0.45 
Capping β 17158 28 168 119 0.45 
Gene name CG No. of corners Fast Fourier trans Decision tree Cell No. 
Arp2/3 complex      
P16-ARC 9881 0.87 
Sop2 8978 1.39 
Arp14D 9901 0.87 
Arp66B 7558 15 1.95 
Arc-p34 10954 3a 0.55 
Arc-p20 5972 8a 1.59 
WAVE complex      
Abi 9749 14 18 1.17 
Sra1 4931 0.97 
Scar 4636 0.61 
Hem1 5837 23 14 20 1.25 
Other      
Rac1 2248 24 51 44 0.35 
Rac2 8556 561 37 143 1.69 
CK1α 2028 11 10 12 0.45 
Capping β 17158 28 168 119 0.45 

CG, FlyBase gene ID. Analyzed by corner detection and FFT analysis (Fig. 2) and by decision tree machine learning. The decision tree was trained using features from a set of Scar and Arp2/3-RNAi cells. Ranking reflects the position of the phenotype out of the entire list of ∼14,000 genes. Cell number indicates the normalized number of cells present after RNAi treatment, where 1.00 is the plate mean. Depletions resulting in a normalized cell number <0.25 were excluded. Data are from the initial screen and do not include rescreen data. CK1α scored positive in rescreening analysis by both visual and computational analysis. See Materials and methods for a description of analysis and rescreening methods.

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