Merge all splice variants of an expression dataset into unique locus, unaware of alternative splicing, by summing all variants of the same gene
aggregate_splice_variants(data)expression dataframe with splice variants as rownames and samples as columns
dataframe with aggregated rows
data("abiotic_stresses")
head(aggregate_splice_variants(abiotic_stresses$normalized_counts))
#> C_1 C_2 C_3 S_1 S_2 S_3 M_1
#> AT1G01010 126.67770 68.11023 65.42961 93.86575 87.5764 94.94861 65.05674
#> AT1G01020 207.37239 221.48363 186.59926 192.22508 223.7622 195.83770 234.04437
#> AT1G01030 32.61701 34.50651 55.74004 33.55201 15.8055 30.98948 21.38578
#> AT1G01040 857.11927 981.83053 987.53763 896.31808 832.9201 939.18927 948.16950
#> AT1G01050 844.65099 842.80140 836.30033 834.90591 813.9337 784.34086 801.46705
#> AT1G01060 656.52962 700.96360 635.81601 531.93922 408.5573 514.54424 741.10719
#> M_2 M_3 H_1 H_2 H_3 SM_1 SM_2
#> AT1G01010 100.40712 126.60277 95.94273 135.09481 117.88109 95.26083 103.22907
#> AT1G01020 197.11029 179.12095 314.68009 366.25704 319.84802 166.48480 177.58564
#> AT1G01030 29.83183 33.44789 47.97137 39.02739 51.39696 24.82495 30.85007
#> AT1G01040 904.16462 988.55996 802.84153 701.59237 908.14710 881.28582 870.42671
#> AT1G01050 762.21318 718.78024 927.44640 969.98073 936.20924 853.99808 796.16902
#> AT1G01060 783.03539 876.33479 36.90879 20.81461 20.61913 844.83649 843.43290
#> SM_3 SH_1 SH_2 SH_3 MH_1 MH_2 MH_3
#> AT1G01010 96.93197 95.62140 96.96100 101.98612 83.07132 107.83420 97.72878
#> AT1G01020 184.27943 344.11588 355.75908 347.33674 332.28529 317.07673 329.62076
#> AT1G01030 33.99041 61.59351 66.08684 61.61452 45.14746 36.34635 56.26199
#> AT1G01040 827.23183 790.21445 783.35607 702.72766 846.06337 813.47552 782.73606
#> AT1G01050 830.09730 903.91001 790.21700 855.25379 692.26103 705.64132 722.44818
#> AT1G01060 867.94128 29.78703 39.95479 19.22937 33.81043 40.06131 16.80814
#> SMH_1 SMH_2 SMH_3
#> AT1G01010 100.03786 96.92257 122.39208
#> AT1G01020 267.53381 314.42203 320.85215
#> AT1G01030 45.97144 42.79828 57.07611
#> AT1G01040 806.69890 787.80910 857.84991
#> AT1G01050 835.28114 971.53100 841.26970
#> AT1G01060 48.96958 33.77757 26.12639