Table 1.
Method | Brain |
hESC |
||||
---|---|---|---|---|---|---|
Oases | TransABySS | Trinity | Oases | TransABySS | Trinity | |
unreduced | 0.402 | 0.441 | 0.414 | 0.304 | 0.577 | 0.621 |
ORNA | 0.404 | 0.440 | 0.421 | 0.302 | 0.582 | 0.616 |
Diginorm | 0.411 | 0.418 | 0.419 | 0.280 | 0.578 | 0.601 |
TIS | 0.419 | 0.437 | 0.413 | 0.283 | 0.579 | 0.599 |
Notes: Each entry in a cell denotes the average of F1 scores obtained by assembling brain and hESC datasets normalized by the three algorithms (ORNA, Diginorm and TIS) in the rows. Averages are taken over results obtained with several parameters for each algorithm. The F1 score obtained for the original (unreduced) dataset is shown in the first row. Columns denote the assembler used. The highest F1 score obtained comparing all reduction methods is highlighted per assembler.