RPCA Integration Explained #8475
Unanswered
sidvmahesh
asked this question in
Q&A
Replies: 0 comments
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
-
Hi All,
Quick question regarding the Reciprocal PCA (RPCA) integration protocol. I see that as per this RPCA vignette, "When determining anchors between any two datasets using RPCA, we project each dataset into the others PCA space and constrain the anchors by the same mutual neighborhood requirement."
I'm a little confused, because my understanding is that nearest neighbors for a given cell in dataset A (when projected into the top PCs in dataset B) should be identical for the same cell when dataset B is projected onto dataset A's top PCs, right? In other words, what is the need to project the reference onto the query's top PCs AND the query onto the reference's top PCs to derive a SNN graph (used to determine anchors)?
An explanation would be really helpful. Thanks in advance!
Beta Was this translation helpful? Give feedback.
All reactions