activity
20172023
most citedMapping the Human Body at Cellular Resolution -- The NIH Common Fund Human BioMolecular Atlas Program

690 citations · 696 across the 4 of their papers we have counts for

collaborators

6 papers

cs.SI2023

Disparity in the Evolving COVID-19 Collaboration Network

Huimin Xu, Redoan Rahman, Ajay Jaiswal +5

The COVID 19 pandemic has paused many ongoing research projects and unified researchers' attention to focus on COVID 19 related issues. Our project traces 712294 scientists' public…

q-bio.QM2020★ 5 cited

Construction and Usage of a Human Body Common Coordinate Framework Comprising Clinical, Semantic, and Spatial Ontologies

Katy Börner, Ellen M. Quardokus, Bruce W. Herr +14

The National Institutes of Health's (NIH) Human Biomolecular Atlas Program (HuBMAP) aims to create a comprehensive high-resolution atlas of all the cells in the healthy human body.…

q-bio.OT2019

Considerations for Using the Vasculature as a Coordinate System to Map All the Cells in the Human Body

Griffin M Weber, Yingnan Ju, Katy Börner

Several ongoing international efforts are developing methods of localizing single cells within organs or mapping the entire human body at the single cell level, including the Chan…

q-bio.OT2019★ 690 cited

Mapping the Human Body at Cellular Resolution -- The NIH Common Fund Human BioMolecular Atlas Program

Michael P Snyder, Shin Lin, Amanda Posgai +22

Transformative technologies are enabling the construction of three dimensional (3D) maps of tissues with unprecedented spatial and molecular resolution. Over the next seven years,…

cs.CL2018★ 1 cited

Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data

Andrew L. Beam, Benjamin Kompa, Allen Schmaltz +6

Word embeddings are a popular approach to unsupervised learning of word relationships that are widely used in natural language processing. In this article, we present a new set of…

cs.DS2017

HyperMinHash: MinHash in LogLog space

Yun William Yu, Griffin M. Weber

In this extended abstract, we describe and analyze a lossy compression of MinHash from buckets of size to buckets of size by encoding using floating-poi…