8 citations · 8 across the 3 of their papers we have counts for
3 papers
stat.ML2026
Multi-context principal component analysis
Kexin Wang, Salil Bhate, João M. Pereira +3
Principal component analysis (PCA) is a tool to capture factors that explain variation in data. Across domains, data are now collected across multiple contexts (for example, indivi…
q-bio.GN2019★ 8 cited
A multi-modal neural network for learning cis and trans regulation of stress response in yeast
Boxiang Liu, Nadine Hussami, Avanti Shrikumar +5
Deciphering gene regulatory networks is a central problem in computational biology. Here, we explore the use of multi-modal neural networks to learn predictive models of gene expre…
q-bio.QM2017
Theoretical foundations for the Human Cell Atlas
Salil Bhate
In Schiebinger et al. (2017), the authors use optimal transport of measures on empirical distributions arising from biological experiments to relate the single cell RNA sequencing…