Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Encoding Domain Information with Sparse Priors for Inferring Explainable
  Latent Variables   Latent variable models are powerful statistical tools that can uncover
relevant variation between patients or cells, by inferring unobserved hidden
states from observable high-dimensional data. A major shortcoming of current
methods, however, is their inability to learn sparse and interpretable hidden
states. Additionally, in settings where partial knowledge on the latent
structure of the data is readily available, a statistically sound integration
of prior information into current methods is challenging. To address these
issues, we propose spex-LVM, a factorial latent variable model with sparse
priors to encourage the inference of explainable factors driven by
domain-relevant information. spex-LVM utilizes existing knowledge of curated
biomedical pathways to automatically assign annotated attributes to latent
factors, yielding interpretable results tailored to the corresponding domain of
interest. Evaluations on simulated and real single-cell RNA-seq datasets
demonstrate that our model robustly identifies relevant structure in an
inherently explainable manner, distinguishes technical noise from sources of
biomedical variation, and provides dataset-specific adaptations of existing
pathway annotations. Implementation is available at
https://github.com/MLO-lab/spexlvm.

31
The categories of this paper are: ao-sci
4
The categories of this paper are: cond-mat
20
The categories of this paper are: acc-phys
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The categories of this paper are: eess
6
The categories of this paper are: astro-ph
12
The categories of this paper are: nucl-th
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The categories of this paper are: chao-dyn
26
The categories of this paper are: bayes-an
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The categories of this paper are: alg-geom
3
The categories of this paper are: physics
2
The categories of this paper are: math
5
The categories of this paper are: gr-qc
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The categories of this paper are: dg-ga
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The categories of this paper are: comp-gas
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The categories of this paper are: hep-ex
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The categories of this paper are: patt-sol