Patents by Inventor Stephanie B. Fulmer-Smentek

Stephanie B. Fulmer-Smentek 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).

  • Publication number: 20070292842
    Abstract: Methods for detecting the integration of viral nucleic acids into a host cell, and methods for determining the locus of integration using microarrays are described. The methods can also be used in conjunction with viral vectors used in gene therapy.
    Type: Application
    Filed: June 14, 2006
    Publication date: December 20, 2007
    Inventors: Stephanie B. Fulmer-Smentek, Douglas N. Roberts, Douglas A. Amorese
  • Publication number: 20040101846
    Abstract: Methods of identifying a sequence of a probe, e.g., a biopolymeric probe, such as a nucleic acid, that is suitable for use as a surface immobilized probe for a target molecule of interest, e.g., a target nucleic acid, are provided. A feature of the subject methods is that a set of computationally determined initial candidate sequences are empirically evaluated to obtain functional data that is then employed to identify one or more clusters of candidate probe sequences from the initial set such that all candidate probe sequences within each identified cluster exhibitsubstantially the same performance under a plurality of different experiments, specifically a plurality of differential gene expression experiments. A candidate probe from the cluster that exhibits the best performance across the plurality of experimental sets is then selected as the optimum candidate probe, e.g., based on one or more performance metrics.
    Type: Application
    Filed: November 22, 2002
    Publication date: May 27, 2004
    Inventors: Patrick J. Collins, Anna M. Tsalenko, Zohar H. Yakhini, Peter G. Webb, Karen W. Shannon, Stephanie B. Fulmer-Smentek
  • Publication number: 20040009484
    Abstract: Methods are disclosed for predicting the potential of a hybridization oligonucleotide of length greater than about 20 nucleotides to hybridize to a target nucleotide sequence. The method involves evaluating predictor oligonucleotides based on one or more parameters. A subset of oligonucleotides within the predetermined number of predictor oligonucleotides is selected based on an examination of the parameter and application of a rule that rejects some of the oligonucleotides identified above. Oligonucleotides are identified in the selected subset, viewed according to order of position along the nucleotide sequence, that are in clusters along a region of the nucleotide sequence. The clusters are ranked in order of number of oligonucleotides. A hybridization oligonucleotide is selected for each cluster, in descending order of cluster rank. The selected hybridization oligonucleotide has as its central nucleotide the central nucleotide of a region of the nucleotide sequence that corresponds to the cluster.
    Type: Application
    Filed: July 11, 2002
    Publication date: January 15, 2004
    Inventors: Paul K. Wolber, Matthew C. Yoshikawa, Chao Chen, Stephanie B. Fulmer-Smentek, Karen W. Shannon, Francisco J. Cifuentes
  • Publication number: 20030216870
    Abstract: A method and system for normalizing two or more molecular array data sets. Input molecular array data sets are separately globally normalized by, for example, dividing the feature-signal magnitudes of each data set by the geometric mean of the feature-signal magnitudes of the data set. The globally normalized feature signal magnitudes within each data set are ranked in ascending order. A numeric function is created that relates feature-signal magnitudes of the data sets. Only a subset of the features, obtained by selecting features that are similarly ranked in the separate feature-signal-magnitude rankings for the data sets, is used to construct the numeric function. The numeric function is smoothed by one of many possible different smoothing procedures.
    Type: Application
    Filed: May 7, 2002
    Publication date: November 20, 2003
    Inventors: Paul K. Wolber, Karen W. Shannon, Stephanie B. Fulmer-Smentek, Charles D. Troup, Douglas A. Amorese, Nicholas M. Sampas, Srinka Ghosh, Scott D. Connell
  • Publication number: 20030215807
    Abstract: A method and system for normalizing two or more molecular array data sets. Input molecular array data sets are separately globally normalized by, for example, dividing the feature-signal magnitudes of each data set by the geometric mean of the feature-signal magnitudes of the data set. The globally normalized feature signal magnitudes within each data set are ranked in ascending order. A numeric function is created that relates feature-signal magnitudes of the data sets. Only a subset of the features, obtained by selecting features that are similarly ranked in the separate feature-signal-magnitude rankings for the data sets, is used to construct the numeric function. The numeric function is smoothed by one of many possible different smoothing procedures.
    Type: Application
    Filed: May 9, 2002
    Publication date: November 20, 2003
    Inventors: Paul K. Wolber, Karen W. Shannon, Stephanie B. Fulmer-Smentek, Charles D. Troup, Douglas A. Amorese, Nicholas M. Sampas, Srinka Ghosh, Scott D. Connell