activity
20132021
most citedMapping the Human Body at Cellular Resolution -- The NIH Common Fund Human BioMolecular Atlas Program

690 citations · 740 across the 5 of their papers we have counts for

collaborators

6 papers

q-bio.BM2021

New views of old proteins: clarifying the enigmatic proteome

Participants in a NIH Workshop on Functional, Integrative Proteomics, : +20

All human diseases involve proteins, yet our current tools to characterize and quantify them are limited. To better elucidate proteins across space, time, and molecular composition…

q-bio.OT2021

MITI Minimum Information guidelines for highly multiplexed tissue images

Denis Schapiro, Clarence Yapp, Artem Sokolov +36

The imminent release of tissue atlases combining multi-channel microscopy with single cell sequencing and other omics data from normal and diseased specimens creates an urgent need…

q-bio.TO2021

Spatial mapping of protein composition and tissue organization: a primer for multiplexed antibody-based imaging

John W. Hickey, Elizabeth K. Neumann, Andrea J. Radtke +21

Tissues and organs are composed of distinct cell types that must operate in concert to perform physiological functions. Efforts to create high-dimensional biomarker catalogs of the…

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,…

q-bio.TO2018

The Human Cell Atlas White Paper

Aviv Regev, Sarah Teichmann, Orit Rozenblatt-Rosen +78

The Human Cell Atlas (HCA) will be made up of comprehensive reference maps of all human cells - the fundamental units of life - as a basis for understanding fundamental human biolo…

stat.ML2013★ 50 cited

Joint Modeling and Registration of Cell Populations in Cohorts of High-Dimensional Flow Cytometric Data

Saumyadipta Pyne, Kui Wang, Jonathan Irish +10

In systems biomedicine, an experimenter encounters different potential sources of variation in data such as individual samples, multiple experimental conditions, and multi-variable…