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. 2021 Jan 12;6(1):e00917-20. doi: 10.1128/mSystems.00917-20

TABLE 2.

edgeR differential expression statistics

Quantification method Cluster No. of correct DE genes No. of correct NDE genes No. of missed DE genes No. of false-positive DE genes Detection rate (%) False-positive rate (%) No. of DE genes excluded from expression threshold No. of NDE genes excluded from expression threshold
Salmon
–validateMappings
–allowDovetail
1 946 3,115 314 44 75.08 1.39 98 5
Salmon
–validateMappings
1 946 3,115 314 44 75.08 1.39 98 5
Kallisto 1 947 3,116 313 43 75.16 1.36 141 4
eXpress
-B10 –no-bias-correct
1 831 3,137 429 22 65.95 0.70 237 14
eXpress 1 53 3,143 1,207 16 4.21 0.51 292 17
featureCounts 2 936 3,135 324 24 74.29 0.76 169 15
FADU
–remove-multimapped
2 974 3,127 286 32 77.30 1.01 153 15
HTSeq
-m intersection-nonempty
2 903 3,128 357 31 71.67 0.98 267 17
HTSeq
-m union
2 909 3,119 351 40 72.14 1.27 295 20
HTSeq
-m intersection-strict
2 802 3,134 458 25 63.65 0.79 499 42
HTSeq
-m union –nonunique all
3 1,006 3,113 254 46 79.84 1.46 76 6
featureCounts -O 3 1,008 3,116 252 43 80.00 1.36 80 6
featureCounts
-O –fraction
3 1,000 3,112 260 47 79.37 1.49 109 6
FADU
–em_iterations 10
4 955 3,122 305 37 75.79 1.17 112 10
FADU 4 947 3,125 313 34 75.16 1.08 111 9