New York University

Wisconsin Alumni Research Foundation

Universitá Degli Studi Di Milano-bicocca

Marco Antoniotti

Bhubaneswar Mishra

Naren Ramakrishnan

David Charles Schwartz

Thomas S Anantharaman

Salvatore Paxia

Loes Olde Loohuis

Daniele Ramazzotti

Alex Graudenzi

Ilya Korsuncky

Giulio Caravagna

Giancarlo Mauri

An exemplary embodiment of system, method and computer-accessible medium can be provided to reconstruct models based on the probabilistic notion of causation, which can differ fundamentally from that can be based on correlation. A general reconstruction setting can be complicated by the presence of noise in the data, owing to the intrinsic variability of biological processes as well as experimental or measurement errors. To gain immunity to noise in the reconstruction performance, it is possible to use a shrinkage estimator. On synthetic data, the exemplary procedure can outperform currently known procedures and, for some real cancer datasets, there are biologically significant differences revealed by the exemplary reconstructed progressions. The exemplary system, method and computer accessible medium can be efficient even with a relatively low number of samples and its performance quickly converges to its asymptote as the number of samples increases.

Methods, computer-accessible medium and systems to model disease progression using biomedical data from multiple patients

A method, system and software arrangement in accordance with an exemplary embodiment of the present invention are provided to extract descriptive narrative from numerical experimental data augmented with ontological controlled vocabulary. One exemplary application of such system, method and software arrangement is in organizing gene-expression time course data in terms of biological processes that may be activated and deactivated as the biological system responds to its normal or perturbed environment. The present invention may also have biological applications to drug-or-vaccine discovery, understanding behavior of a cell in an altered diseased state (e.g., cancer, neuro-degeneration or auto-immune disease, etc.), genetically modifying a natural wild-type organism, genetic-engineering, etc. Other exemplary applications may include understanding neural behavior, market behavior of a population of users interacting on the Internet, etc.

Method, system and software arrangement for reconstructing formal descriptive models of processes from functional/modal data using suitable ontology

A method and system are provided for comparing ordered segments of a first DNA restriction map with ordered segments of a second DNA restriction map to determine a level of accuracy the first DNA map and/or the second DNA map. In particular, the first and second DNA maps can be received (the first DNA map corresponding to a sequence DNA map, and the second DNA map corresponding to a genomic consensus DNA map as provided in an optical DNA map). Then, the accuracy of the first DNA map and/or the second DNA map is validated based on information associated with the first and second DNA maps. In addition, a method and system are provided for aligning a plurality of DNA sequences with a ordered DNA restriction map. The DNA sequences and the DNA map are received (the DNA sequences being fragments of a genome and the DNA map corresponding to a genomic consensus DNA map which relates to an optical ordered DNA map). Then, a level of accuracy of the DNA sequences and the DNA map is obtained based on information associated with the DNA sequences and the DNA map by means of the method and system described above. The locations of the DNA map at which the DNA sequences are capable of being associated with particular segments of the DNA map are located. Furthermore, it is possible to obtain locations of the DNA map (without the validation) by locating an optimal one of the locations for each of the DNA sequences for each of the locations.

System and process for validating, aligning and reordering one or more genetic sequence maps using at least one ordered restriction map

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Lugano, Switzerland

Marco Antoniotti