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11/07/2022
Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling
Latent variable models such as the Variational Auto-Encoder (VAE) have b...
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06/15/2022
Large-Scale Differentiable Causal Discovery of Factor Graphs
A common theme in causal inference is learning causal relationships betw...
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04/13/2021
Inference of cell dynamics on perturbation data using adjoint sensitivity
Data-driven dynamic models of cell biology can be used to predict cell r...
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12/23/2020
The necessity and power of random, under-sampled experiments in biology
A vast array of transformative technologies developed over the past deca...
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11/28/2018
Reconstructing probabilistic trees of cellular differentiation from single-cell RNA-seq data
Until recently, transcriptomics was limited to bulk RNA sequencing, obsc...
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10/19/2012
