Published August 2, 2023 | Version 1.1.0

scIBD

  • 1. Xiamen University
  • 2. Nankai University
  • 3. Tsinghua University

Description

scIBD is a doublet detection method for scCAS data.

Files

Files (49.8 GB)

Name Size
md5:f2494ad86a6c021ff9ab8b3ad363d0de
9.9 GB Download
md5:446ebf7ceb68f71c57a7db673a055977
241.5 MB Download
md5:4939d615953937bd322f2f4b26d1b11f
2.8 GB Download
md5:518e7f059c6c407fcb2f797fe2514c55
64.9 MB Download
md5:9117d9d45e7b5fb9d410d4ae79a290bd
35.4 MB Download
md5:2b4b4cb951d2307d1e51bb0a5bb8b343
13.2 GB Download
md5:ed9bc5544c06c2f93a012f469f45ddfc
215.3 MB Download
md5:feea02530a6c1a4c2a80bd4e81e30baa
3.0 GB Download
md5:b3bd7700a6bbaf2510878beff73f078b
2.9 GB Download
md5:db0d8ede02f9f732a437287284f589ef
234.1 MB Download
md5:8f17ec8927b2c4c389ec57a5732df551
112.7 MB Download
md5:25627808bcdb155b3bddcc1b98303436
414.7 MB Download
md5:f026c6fe71354207bac651691d394c70
16.0 GB Download
md5:20dc0f7dbcc82542ba6b4008e1753a89
373.1 MB Download
md5:de397ef229e3b449b5eaf081936d12dc
125.1 MB Download
md5:18522b21a83ef21c124176290f349015
237.1 MB Download