Apr 29, 2022 � We study one-way matching of a pair of datasets with low rank signals. Under a stylized model, we first derive information-theoretic limits of matching under a�...

Sep 7, 2024 � We study one-way matching of a pair of datasets with low rank signals. Under a stylized model, we first derive information-theoretic limits�...

Oct 24, 2022 � We study one-way matching of a pair of datasets with low rank signals. Under a stylized model, we first derive information-theoretic limits�...

We study one-way matching of a pair of datasets with low-rank signals. Under a stylized model, we first derive information-theoretic limits of matching.

We study one-way matching of a pair of datasets with low-rank signals. Under a stylized model, we first derive information-theoretic limits of matching�...

One-way matching of datasets with low rank signals. arXiv:2204.13858. Banerjee, D. and Ma, Z. (2017) Optimal hypothesis testing for stochastic block models�...

Nature Methods, 2023. One-Way Matching of Datasets with Low Rank Signals Shuxiao Chen, Sizun Jiang, Zongming Ma, Garry P. Nolan, and Bokai Zhu. 2022.

One-way matching of datasets with low rank signals. arXiv:2204.13858. Banerjee, D. and Ma, Z. (2017) Optimal hypothesis testing for stochastic block models�...

Robust single-cell matching and multimodal analysis using shared and distinct features ... One-way matching of datasets with low rank signals. S Chen, S Jiang, Z�...

Jan 16, 2023 � We developed matching with partial overlap (MARIO) to enable confident and accurate matching for multimodal data integration and cross-species analysis.