Jia F Li

Author:

Jia Li

ISBN #:

0792378997

US Patent:

6743906, Jun 1, 2004

Filed:

Oct 1, 1999

Appl. No.:

09/410416

Inventors:

Glen A. Evans - San Marcos CA
Steven Siqing Wang - The Woodlands TX
Edward D. Esplin - Dallas TX
Jia Ling Li - Dallas TX
Liying Huang - Guang Dong, CN

Assignee:

Board of Regents, The University of Texas - Austin TX

International Classification:

C07H 2104

US Classification:

536 235, 536 241, 536 242, 514 44

Abstract:

The present invention identifies the PPP2R1B gene, as a human tumor suppressor gene. Sequencing of the PPP2R1B revealed that the gene is located on human chromosome 11q22-24 and that gene were mutated in tumors and tumor cell lines, leading to the classification of this gene as a tumor suppressor. Further analyses have demonstrated the presence of a number of mutations in the gene in lung, colon, breast and cervical cancer cells. Methods for diagnosing and treating cancers related to this tumor suppressor also are disclosed.

US Patent:

6764822, Jul 20, 2004

Filed:

Apr 3, 2000

Appl. No.:

09/541210

Inventors:

John M. Butler - Menlo Park CA
Jia Li - Union City CA
Joseph A. Monforte - Berkeley CA
Christopher H. Becker - Palo Alto CA

Assignee:

Sequenom, Inc. - San Diego CA

International Classification:

C12Q 168

US Classification:

435 6, 435 912, 436 94, 436173, 536 253, 536 254

Abstract:

The present invention is related to the fields of genetic mapping and genetic identity detection, including forensic identification and paternity testing. This invention is more specifically directed to the use of mass spectrometry to detect length variation in DNA nucleotide sequence repeats (including variants of common alleles), such as microsatellites and short tandem repeats, and to DNA sequences provided as primers for the analysis of DNA tandem nucleotide repeat polymorphisms at specific loci on specific chromosomes.

US Patent:

7394947, Jul 1, 2008

Filed:

Apr 8, 2004

Appl. No.:

10/820948

Inventors:

Jia Li - State College PA, US
James Wang - State College PA, US

Assignee:

The Penn State Research Foundation - University Park PA

International Classification:

G06K 9/55
G06K 9/62
G06F 7/10
G06F 12/00

US Classification:

382305, 382228, 7071041, 711100

Abstract:

The present invention provides a statistical modeling approach to automatic linguistic indexing of photographic images. The invention uses categorized images to train a dictionary of hundreds of statistical models each representing a concept. Images of any given concept are regarded as instances of a stochastic process that characterizes the concept. To measure the extent of association between an image and a textual description associated with a predefined concept, the likelihood of the occurrence of the image based on the characterizing stochastic process is computed. A high likelihood indicates a strong association between the textual description and the image. The invention utilizes two-dimensional multi-resolution hidden Markov models that demonstrate accuracy and high potential in linguistic indexing of photographic images.

US Patent:

7790371, Sep 7, 2010

Filed:

Apr 20, 2004

Appl. No.:

10/552641

Inventors:

Russell Gene Higuchi - Alameda CA, US
Gary Allen Peltz - Redwood City CA, US
Bonnie Fijal - Hillsborough NJ, US
Sunhee Kwon Ro - Foster City CA, US
Jia Li - Union City CA, US

Assignee:

Roche Molecular Systems, Inc. - Pleasanton CA

International Classification:

C12Q 1/68
C12P 19/34

US Classification:

435 6, 435 912

Abstract:

The present invention relates to polymorphisms of the FRZB gene and the analysis of nucleic acids thereof. The invention further relates to methods of predicting risks of certain conditions in individual and kits for the determination of such risks.

US Patent:

7929805, Apr 19, 2011

Filed:

Jan 30, 2007

Appl. No.:

11/668853

Inventors:

James Z. Wang - State College PA, US
Ritendra Datta - State College PA, US
Jia Li - State College PA, US

Assignee:

The Penn State Research Foundation - University Park PA

International Classification:

G06K 9/32

US Classification:

382298, 382305, 726 21

Abstract:

In a system and method for the generation of attack-resistant, user-friendly, image-based CAPTCHAs (Completely Automated Public test to Tell Computers and Humans Apart), controlled distortions are applied to randomly chosen images and presented to a user for annotation from a given list of words. An image is presented that contains multiple connected but independent images with the borders between them distorted or otherwise visually obfuscated in a way that a computer cannot distinguish the borders and a user selects near the center of one of the images. The distortions are performed in a way that satisfies the incongruous requirements of low perceptual degradation and high resistance to attack by content-based image retrieval systems. Word choices are carefully generated to avoid ambiguity as well as to avoid attacks based on the choices themselves.

US Patent:

7941009, May 10, 2011

Filed:

Oct 15, 2007

Appl. No.:

11/872260

Inventors:

Jia Li - State College PA, US
James Z. Wang - State College PA, US

Assignee:

The Penn State Research Foundation - University Park PA

International Classification:

G06K 9/54
G06F 7/00

US Classification:

382305, 707705

Abstract:

A computerized annotation method achieves real-time operation and better optimization properties while preserving the architectural advantages of the generative modeling approach. A novel clustering algorithm for objects is represented by discrete distributions, or bags of weighted vectors, thereby minimizing the total within cluster distance, a criterion used by the k-means algorithm. A new mixture modeling method, the hypothetical local mapping (HLM) method, is used to efficiently build a probability measure on the space of discrete distributions. Thus, in accord with the invention every image is characterized by a statistical distribution. The profiling model specifies a probability law for distributions directly.

US Patent:

20030158187, Aug 21, 2003

Filed:

Jan 30, 2003

Appl. No.:

10/354693

Inventors:

Dorothee Foernzler - Lenzburg, CH
Lara Hashimoto - Basle, CH
Jia Li - Union City CA, US
Eric Luedin - Liestal, CH
Andrew Sleight - Riedisheim, FR
Pierre Vankan - Basle, CH

International Classification:

C12Q001/68
A61K031/44
A61K031/541
A61K031/5377

US Classification:

514/227500, 435/006000, 514/235500, 514/357000

Abstract:

The present invention relates to a method for correlating single nucleotide polymorphisms in the preprotachykinin (NKNA) gene with the efficacy and compatibility of a pharmaceutically active compound administered to a human being. The invention further relates to a method for determining the efficacy and compatibility of a pharmaceutically active compound administered to a human being which method comprises determining at least one single nucleotide polymorphism in the NKNA gene. Said methods are based on determining specific single nucleotide polymorphisms in the NKNA gene and determining the efficacy and compatibility of a pharmaceutically active compound in the human by reference to polymorphism in NKNA. The invention further relates to isolated nucleic acids comprising within their sequence the polymorphisms as defined herein, to nucleic acid primers and oligonucleotide probes capable of hybridizing to such nucleic acids and to a diagnostic kit comprising one or more of such primers and probes for detecting a polymorphism in the NKNA gene, to a pharmaceutical pack comprising NK-1 receptor antagonists and instructions for administration of the drug to human beings tested for the polymorphisms as well as to a computer readable medium with the stored sequence information for the polymorphisms in the NKNA gene.

US Patent:

20060014187, Jan 19, 2006

Filed:

Jun 28, 2005

Appl. No.:

11/170717

Inventors:

Jia Li - Union City CA, US
Russell Higuchi - Alameda CA, US
Sunhee Ro - Foster City CA, US
Gary Peltz - Redmond City CA, US

Assignee:

Roche Molecular Systems., Inc. - Alameda CA

International Classification:

C12Q 1/68
C12P 19/34

US Classification:

435006000, 435091200

Abstract:

The current invention is based on the discovery that the Prol2Ala and VN102 single nucleotide polymorphisms in the PPARγ2 provides a method of determining a susceptibility to osteoporosis by detecting the presence of PPARγ of the alleles.