Patents by Inventor Avi Ma'ayan

Avi Ma'ayan 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).

  • SHOC2 mutations causing noonan-like syndrome with loose anagen hair
    Patent number: 8808992
    Abstract: The present invention is directed to methods of diagnosing Noonan-like syndrome with loose anagen hair comprising detecting a mutation in SHOC2 gene. One specific diagnostic mutation disclosed is an A-to-G transition at position 4 resulting in a mutation at position 2 of SHOC2 amino acid sequence from serine to glycine. The invention also provides related sequences and kits.
    Type: Grant
    Filed: May 6, 2010
    Date of Patent: August 19, 2014
    Assignees: Icahn School of Medicine at Mount Sinai, The Regents of the University of California
    Inventors: Bruce D. Gelb, Marco Tartaglia, Len Pennacchio, Ravi Iyengar, Avi Ma'ayan
  • Network characterization, feature extraction and application to classification
    Patent number: 8271414
    Abstract: Methods, systems and apparatus for characterizing networks are presented. For example, a method of characterizing a network represented by a plurality of nodes and a plurality of edges is provided. The method may be implemented on a processor device and includes calculating, for example, by the processor device, a passthrough count of at least a portion of the network. The passthrough count includes a count of a number of passthroughs in the at least a portion of the network. A passthrough includes one of the plurality of nodes, a directed edge of the plurality of edges coupled to the one of the plurality of nodes, and another edge of the plurality of edges coupled to the one of the plurality of nodes. At most one of the directed edge and the other edge is directed towards the one of the plurality of nodes. At most one of the directed edge and the other edge is directed away from the one of the plurality of nodes.
    Type: Grant
    Filed: July 24, 2009
    Date of Patent: September 18, 2012
    Assignees: International Business Machines Corporation, Mount Sinai School of Medicine of New York University
    Inventors: Guillermo Alberto Cecchi, Srinivas Ravi Viraraghava Iyengar, Avi Ma'ayan, Ravishankar Rao, Gustavo Alejandro Stolovitzky, John Michael Wagner
  • SHOC2 Mutations Causing Noonan-Like Syndrome With Loose Anagen Hair
    Publication number: 20110059851
    Abstract: The present invention is directed to methods of diagnosing Noonan-like syndrome with loose anagen hair comprising detecting a mutation in SHOC2 gene. One specific diagnostic mutation disclosed is an A-to-G transition at position 4 resulting in a mutation at position 2 of SHOC2 amino acid sequence from serine to glycine. The invention also provides related sequences and kits.
    Type: Application
    Filed: May 6, 2010
    Publication date: March 10, 2011
    Applicant: MOUNT SINAI SCHOOL OF MEDICINE OF NEW YORK UNIVERSITY
    Inventors: BRUCE D. GELB, MARCO TARTAGLIA, LEN PENNACCHIO, SRINIVAS RAVI IYENGAR, AVI MA'AYAN
  • Network Characterization, Feature Extraction and Application to Classification
    Publication number: 20110022355
    Abstract: Methods, systems and apparatus for characterizing networks are presented. For example, a method of characterizing a network represented by a plurality of nodes and a plurality of edges is provided. The method may be implemented on a processor device and includes calculating, for example, by the processor device, a passthrough count of at least a portion of the network. The passthrough count includes a count of a number of passthroughs in the at least a portion of the network. A passthrough includes one of the plurality of nodes, a directed edge of the plurality of edges coupled to the one of the plurality of nodes, and another edge of the plurality of edges coupled to the one of the plurality of nodes. At most one of the directed edge and the other edge is directed towards the one of the plurality of nodes. At most one of the directed edge and the other edge is directed away from the one of the plurality of nodes.
    Type: Application
    Filed: July 24, 2009
    Publication date: January 27, 2011
    Applicants: International Business Machines Corporation, Mount Sinai School of Medicine of New York University
    Inventors: Guillermo Alberto Cecchi, Srinivas Ravi Viraraghava Iyengar, Avi Ma'ayan, Ravishankar Rao, Gustavo Alejandro Stolovitzky, John Michael Wagner
  • Methods to Analyze Biological Networks
    Publication number: 20080261820
    Abstract: The present invention relates to a family of graph-theory based methods for the analysis of intracellular signaling networks created from biomedical literature using data-mining processes or acquired through high-content experiments. The methods of the present invention can be used to identify functional dynamic modules within biological networks that can be analyzed quantitatively for input/output relationships. In particular, the present invention relates to a computer-aided method for the in-silico analysis of signaling and other cellular interaction pathways to rank drug targets, identify biomarkers, predict side effects, and classify/diagnose patients.
    Type: Application
    Filed: August 1, 2006
    Publication date: October 23, 2008
    Applicant: Mount Sinai School of Medicine of New York University
    Inventors: Ravi Iyengar, Avi Ma'ayan