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Tshrink+ (red) offers a similar improvement again on top of that of Tshrink nearly doubling the improvement of Tshrink to T. Moderation improves gene ranking and improving what a method moderates too can improve gene ranking further.
We rigorously validated our gene ranking using results from two independent sequencing experiments, together representing over 5000 simplex and multiplex ASD families.
We further identified the top genes responsible for this correlation using two greedy gene ranking techniques.
Note that a similar approach was first used in [4], but the goal was not to obtain a gene ranking.
The output of each classifier was used for the basis for gene ranking.
Here, we use this method for gene ranking.
This provides direct support of our cross-species gene ranking.
The interactions were grouped into bins defined by viral gene ranking.
Tshrink+ performs favourably when compared to both DESeq and edgeR when considering gene ranking.
Our weighted average difference (WAD) method was designed for accurate gene ranking.
The correlation graph shows that the addition of parallel screens had only a mild effect on the overall gene ranking.
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