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Table 4 Values of the factors for the lineal model and their interpretation

From: EventPointer: an effective identification of alternative splicing events using junction arrays

Value of Beta

Interpretation

β 0 = log(Aff R ) + log(t 1N  + t 2N )

No special interest

\( {\boldsymbol{\upbeta}}_1=\mathbf{log}\left(\frac{\mathbf{Af}{\mathbf{f}}_1}{\mathbf{Af}{\mathbf{f}}_{\mathbf{R}}}\right)+\mathbf{log}\left(\frac{{\mathbf{t}}_{1\mathbf{N}}}{{\mathbf{t}}_{1\mathbf{N}}+{\mathbf{t}}_{2\mathbf{N}}}\right) \)

No special interest

\( {\boldsymbol{\upbeta}}_2=\mathbf{log}\left(\frac{\mathbf{Af}{\mathbf{f}}_2}{\mathbf{Af}{\mathbf{f}}_1}\right)+\mathbf{log}\left(\frac{{\mathbf{t}}_{2\mathbf{N}}}{{\mathbf{t}}_{1\mathbf{N}}}\right) \)

No special interest

\( {\boldsymbol{\upbeta}}_3=\mathbf{log}\left(\frac{{\mathbf{t}}_{1\mathbf{T}}+{\mathbf{t}}_{2\mathbf{T}}}{{\mathbf{t}}_{1\mathbf{N}}+{\mathbf{t}}_{2\mathbf{N}}}\right) \)

Logarithm of the overall fold change of the event. Differential expression present if different from zero.

\( {\boldsymbol{\upbeta}}_4=\mathbf{log}\left(\frac{{\mathbf{t}}_{1\mathbf{T}}}{{\mathbf{t}}_{1\mathbf{T}}+{\mathbf{t}}_{2\mathbf{T}}}\right)-\mathbf{log}\left(\frac{{\mathbf{t}}_{1\mathbf{N}}}{{\mathbf{t}}_{1\mathbf{N}}+{\mathbf{t}}_{2\mathbf{N}}}\right) \)

Difference of the logarithms of the fold change using relative concentrations of isoform 1 in both conditions. AS present if different from 0.

\( {\boldsymbol{\upbeta}}_5=\mathbf{log}\left(\frac{{\mathbf{t}}_{2\mathbf{T}}}{{\mathbf{t}}_{1\mathbf{T}}}\right)-\mathbf{log}\left(\frac{{\mathbf{t}}_{2\mathbf{N}}}{{\mathbf{t}}_{1\mathbf{N}}}\right) \)

Difference of the logarithms of the fold change of both isoforms. AS present if different from zero.

\( {\boldsymbol{\upbeta}}_4+{\boldsymbol{\upbeta}}_5=\mathbf{log}\left(\frac{{\mathbf{t}}_{2\mathbf{T}}}{{\mathbf{t}}_{1\mathbf{T}}+{\mathbf{t}}_{2\mathbf{T}}}\right)-\mathbf{log}\left(\frac{{\mathbf{t}}_{2\mathbf{N}}}{{\mathbf{t}}_{1\mathbf{N}}+{\mathbf{t}}_{2\mathbf{N}}}\right) \)

Difference of the logarithms of the fold change using relative concentrations of isoform 2 in both conditions. AS present if different from 0.

\( {\boldsymbol{\upbeta}}_3+{\boldsymbol{\upbeta}}_4 = \mathbf{log}\left(\frac{{\mathbf{t}}_{1\mathbf{T}}}{{\mathbf{t}}_{1\mathbf{N}}}\right) \)

Logarithm of the fold change of isoform 1.

\( {\boldsymbol{\upbeta}}_3+{\boldsymbol{\upbeta}}_4+{\boldsymbol{\upbeta}}_5=\mathbf{log}\left(\frac{{\mathbf{t}}_{2\mathbf{T}}}{{\mathbf{t}}_{2\mathbf{N}}}\right) \)

Logarithm of the fold change of isoform 2.