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Table 6 Regression analysis of the effect of Nocodazole concentration on the neuron feature descriptor.

From: HCS-Neurons: identifying phenotypic changes in multi-neuron images upon drug treatments of high-content screening

Feature Name

ANOVA

R 2 (%)

Linear

Regression

R 2 (%)

Quadratic Regression

R 2 (%)

Variance explained

(%)

Regression Equation

somaCount

65.9

18.6

62.7

95.1

- 35.3x2 + 80.4x + 219.3

somaArea

62.3

7.3

45.3

72.7

13400x2 + 45000x + 5200

neurite Length

94.4

91.5

91.7

96.9

- 26100x + 81800

neuriteArea

95.3

91.2

91.6

95.6

- 63500x + 213000

attachment Point#

69.5

26.6

66.7

95.9

- 212x2 + 449x + 1230

endingPoint#

82.5

82.3

82.3

99.7

- 976x + 4420

branchPoint#

91.0

88.1

89.7

96.8

203x2 + 2080x + 5030

Avg_soma Area

76.8

70.4

70.4

91.6

69.4x + 238

Avg_neurite Length

88.0

82.8

86.1

97.8

22.4x2 - 177x + 381

Avg_neurite Area

91.3

87.3

88.3

95.6

29.7x2 - 352x + 946

Avg_attachment Point#

58.4

42.3

56.9

97.4

- 0.167x2 + 0.207x + 5.60

Avg_ending Point#

68.6

54.2

68.0

99.1

1.77x2 - 8.62x + 20.5

Avg_branch Point#

85.1

75.7

84.0

98.7

2.10x2 - 12.4x + 23.1

  1. The R2 ANOVA column shows the total amount of between group variation for each feature. The next two columns show how much of the total variation is explained by a linear model or a quadratic model. If the quadratic model explains more than 5% of the remaining between group variation over the linear model that model is chosen otherwise the quadratic model doesn't improve the fit significantly enough to justify the additional complexity. Essentially, if using the quadratic model increases the R2 fit by more than 0.5% over the linear model we choose that one [35] The variance explained column shows the total percentage of the between group variation explained by the chosen model. The final column shows the equation for the best fit model for each feature.