The ACP sequences:
ACP-Mixed-100	Download	No. of positives: 736	No. of negatives: 5240	Total: 5313
ACP-Mixed-90	Download	No. of positives: 416	No. of negatives: 3909	Total: 4325
ACP-Mixed-80	Download	No. of positives: 303	No. of negatives: 3764	Total: 4067
ACP-Mixed-70	Download	No. of positives: 241	No. of negatives: 3609	Total: 3850
ACP-Mixed-60	Download	No. of positives: 181	No. of negatives: 3416	Total: 3597
ACP-Mixed-50	Download	No. of positives: 102	No. of negatives: 2674	Total: 2776
ACP-Mixed-40	Download	No. of positives: 40	No. of negatives: 1579	Total: 1619
ACP2 Main Train	Download	No. of positives: 689	No. of negatives: 689	Total: 1378
ACP2 Main Test	Download	No. of positives: 172	No. of negatives: 172	Total: 344
ACP2 Alternate Train	Download	No. of positives: 788	No. of negatives: 788	Total: 1552
ACP2 Alternate Test	Download	No. of positives: 194	No. of negatives: 194	Total: 388
ACPred-Fuse Train	Download	No. of positives: 250	No. of negatives: 250	Total: 500
ACPred-Fuse Test	Download	No. of positives: 82	No. of negatives: 2628	Total: 2710
ACPred-FL Train	Download	No. of positives: 250	No. of negatives: 250	Total: 500
ACPred-FL Test	Download	No. of positives: 82	No. of negatives: 82	Total: 164
ACPred-DL 240	Download	No. of positives: 129	No. of negatives: 111	Total: 240
ACPred-DL 740	Download	No. of positives: 376	No. of negatives: 703	Total: 740
LEE Dataset	Download	No. of positives: 422	No. of negatives: 422	Total: 844
LEE Independent Dataset	Download	No. of positives: 150	No. of negatives: 150	Total: 300

ACPred-LAF Project:
The ACPred-LAF models can be downloaded from Github. Note that the model in this study is implemented in pytorch.