10x Genomics, Inc.

Brynn Claypoole

Jeffrey Mellen

Zachary Bent

Yifeng Yin

Neil Ira Weisenfeld

Preyas Shah

Kevin J Wu

Jasper Staab

Florian Baumgartner

Narek Dshkhunyan

Stephen R Williams

Ian Fiddes

Erik Leonard Henrik Borgstrom

A discrete attribute value dataset is obtained that is associated with a plurality of probe spots each assigned a different probe spot barcode. The dataset comprises spatial projections, each comprising images of a biological sample. Each image includes a corresponding plurality of discrete attribute values for the probe spots. Each such value is associated with a probe spot in the plurality of probes spots based on the probe spot barcodes. The dataset is clustered using the discrete attribute values, or dimension reduction components thereof, for a plurality of loci at each respective probe spot across the images of the projections thereby assigning each probe spot to a cluster in a plurality of clusters. Morphological patterns are identified from the spatial arrangement of the probe spots in the various clusters.

Systems and methods for identifying morphological patterns in tissue samples

Systems and methods for identifying morphological patterns in tissue samplers

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San Francisco, CA, United States of America

Brynn Claypoole