Originally posted by lpachter
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Cufflinks' model in figure 2 has three times more counts than figure 1 and doesn't differentiate anywhere near as cleanly between isoforms. Surely maximum-likelihood count assignment can be incorrect, too, given ambiguous reads? Looking at the supplementals, however, I'm inclined to accept that it may be incorrect less often than raw counts when dealing with real data.
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