Patents by Inventor Dana Pe'er

Dana Pe'er has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • ANALYZING HIGH DIMENSIONAL SINGLE CELL DATA USING THE T-DISTRIBUTED STOCHASTIC NEIGHBOR EMBEDDING ALGORITHM
    Publication number: 20180046755
    Abstract: A method for mapping, graphing, and analyzing high-dimensional single cell data based on multiple parameters associated with the cell, including defining a point associated with the cell in a n-dimensional space; combining the point with other points associated with other cells to form a data set; representing the points in the data set in the n-dimensional space; projecting the points in the n-dimensional space onto a lower-dimensional map; and analyzing the features of interest in heterogeneous tissues using the lower-dimensional map.
    Type: Application
    Filed: April 3, 2017
    Publication date: February 15, 2018
    Applicant: THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK
    Inventors: Dana Pe'er, El-Ad David Amir
  • COMPOSITIONS AND METHODS FOR TREATING CANCER USING INTERFERON AND MAPK PATHWAY INHIBITOR
    Publication number: 20150086509
    Abstract: The present invention provides for methods and compositions for treating cancer. A subject having cancer is administered an interferon and an inhibitor of mitogen-activated protein kinase (MAPK) signaling pathway. The combination of the interferon and the inhibitor of the MAPK pathway produces a synergistic effect on the cancer compared to the effect of the interferon or the inhibitor of the MAPK pathway alone. The activity of the interferon pathway, interferon expression levels and/or interferon locus copy number can be used as biomarkers for treatment of cancer by MAPK pathway inhibitors.
    Type: Application
    Filed: September 25, 2014
    Publication date: March 26, 2015
    Inventors: Oren Litvin, Neal Rosen, Dana Pe'er
  • Analyzing High Dimensional Single Cell Data Using the T-Distributed Stochastic Neighbor Embedding Algorithm
    Publication number: 20140336942
    Abstract: A method for mapping, graphing, and analyzing high-dimensional single cell data based on multiple parameters associated with the cell, including defining a point associated with the cell in a n-dimensional space; combining the point with other points associated with other cells to form a data set; representing the points in the data set in the n-dimensional space; projecting the points in the n-dimensional space onto a lower-dimensional map; and analyzing the features of interest in heterogeneous tissues using the lower-dimensional map.
    Type: Application
    Filed: December 10, 2013
    Publication date: November 13, 2014
    Applicant: THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK
    Inventors: Dana Pe'er, El-Ad David Amir