Nodality, Inc.

Other

Erik Evensen

Santosh K Putta

Garry P Nolan

Wendy Fantl

David B Rosen

Alessandra Cesano

Aileen Cohen

David C Spellmeyer

Nikil Wale

Norman Purvis

Greg Friedland

Steven C Banville

The present invention provides an approach for the determination of the activation states of a plurality of proteins in single cells. This approach permits the rapid detection of heterogeneity in a complex cell population based on activation states, expression markers and other criteria, and the identification of cellular subsets that exhibit correlated changes in activation within the cell population. Moreover, this approach allows the correlation of cellular activities or properties. In addition, the use of modulators of cellular activation allows for characterization of pathways and cell populations. Several exemplary diseases that can be analyzed using the invention include AML, MDS, and MPN.

Methods for diagnosis, prognosis and methods of treatment

In one embodiment, one or more processor-readable media storing code representing instructions that when executed by one or more processors cause the one or more processors to receive a set of parameter values defining a boundary within a data space associated with a dataset. The dataset can represent signaling related to a test substance. A first metric can be defined based on a first portion of the dataset associated with a first region defined by the boundary. A second metric can be defined based on a second portion of the dataset associated with a second region defined by the boundary after the boundary is modified. The second region can be different than the first region.

Methods and apparatus related to gate boundaries within a data space

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Foster City, CA, United States of America

Erik Evensen