@KaneFos Ah I hadn't seen that one. Looks similar in principle to f-scLVM / Slalom, no? https://t.co/YiIKdjuL6e https://t.co/QOVtpPMFqT
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@roserventotormo @vallens This is super exciting work, @vallens! I can't wait to get deep into it. One initial comment: I really think you should cite Flo Buettner's f-scLVM paper (https://t.co/k6IHIM26zf) - since it's an interpretable Bayesian factor mode
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@InnesBrendanT @JEFworks @FertigLab There’s been some work on this, and I think it’s one of reasons PCA is so effective: PC’s capture pathways. In this paper by some former colleagues they envistigate factorization with supervised pathway annotation: https
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RT @OliverStegle: Paper on interpretable and sparse factor analysis for scRNA-seq is up. Generalises scLVM; software for R & python! https:…