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51 to 60 of 1,139 Results
f0fc9bf429cae2fdfdcd0db1484ca4cf92afa5
Apr 4, 2022 - ABCD_scripts
Unknown - 163 B - MD5: 104735c118f8556d5868a19281f7ddd1
FETCH_HEAD
Apr 4, 2022 - ABCD_scripts
Plain Text - 107 B - MD5: 0a996e3af05c5478dc0649f74c216e1e
KRR_train_allAA.md
Apr 4, 2022 - ABCD_scripts
Markdown Text - 18.0 KB - MD5: bfa75da7cf51a40800bb4df5f0684f41
KRR_train_randWA.md
Apr 4, 2022 - ABCD_scripts
Markdown Text - 17.7 KB - MD5: 2965ea3f90884d8df485941e7fc4c3a4
LRR_AAvsWA.md
Apr 4, 2022 - ABCD_scripts
Markdown Text - 10.7 KB - MD5: 370eaf02197e0bbd7ddfb442813f698f
ORIG_HEAD
Apr 4, 2022 - ABCD_scripts
Plain Text - 41 B - MD5: 06719e2ad78367849a8c39b61e67c361
README.md
Apr 4, 2022 - ABCD_scripts
Markdown Text - 2.7 KB - MD5: 031674051637f674d27bbe1b3a975c5b
HCP_scripts
HCP_scripts
Apr 4, 2022
Li, Jingwei, 2021, "HCP_scripts", https://doi.org/10.7910/DVN/KPAMEE, Harvard Dataverse, V3
Code for replicating the analyses conducted using the Human Connectome Project (HCP) dataset. Part of the research project on the bias in prediction accuracy against African Americans for machine learning algorithms that predict behavioral measures from resting-state functional connectivity.
5f618662719e01b80d0ef70aa55b0e7b64c65c
Apr 4, 2022 - HCP_scripts
Unknown - 1.3 KB - MD5: 37bfacb013572ed3b6a5a520173a1b40
90664ada17c7f6c01801c09afe3379188a9f84
Apr 4, 2022 - HCP_scripts
Unknown - 164 B - MD5: 4ee8dda62f670a6d332b06c02fbb88bb
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