23 citations · 33 across the 3 of their papers we have counts for
3 papers
q-bio.QM2023★ 23 cited
Is your data alignable? Principled and interpretable alignability testing and integration of single-cell data
Rong Ma, Eric D. Sun, David Donoho +1
Single-cell data integration can provide a comprehensive molecular view of cells, and many algorithms have been developed to remove unwanted technical or biological variations and…
stat.ML2022
A Spectral Method for Assessing and Combining Multiple Data Visualizations
Rong Ma, Eric D. Sun, James Zou
Dimension reduction and data visualization aim to project a high-dimensional dataset to a low-dimensional space while capturing the intrinsic structures in the data. It is an indis…
q-bio.QM2022★ 10 cited
Using Interpretable Machine Learning to Massively Increase the Number of Antibody-Virus Interactions Across Studies
Tal Einav, Rong Ma
A central challenge in every field of biology is to use existing measurements to predict the outcomes of future experiments. In this work, we consider the wealth of antibody inhibi…