output
20122026
most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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2 papers · 1 filter

stat.ML2021

Interpretable Network Representation Learning with Principal Component Analysis

James D. Wilson, Jihui Lee

We consider the problem of interpretable network representation learning for samples of network-valued data. We propose the Principal Component Analysis for Networks (PCAN) algorit…

stat.ML2017★ 2 cited

DIMM-SC: A Dirichlet mixture model for clustering droplet-based single cell transcriptomic data

Zhe Sun, Ting Wang, Ke Deng +5

Motivation: Single cell transcriptome sequencing (scRNA-Seq) has become a revolutionary tool to study cellular and molecular processes at single cell resolution. Among existing tec…