Lin Chown Tang

age ~69

from Chicago, IL

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Also known as:

Lin Jean Tang
Lin C Tang
Chown Tang Lin
Linchown Tang
Linda C Tang
Chown Tang Linchown
Tang Lc

Phone and address:: 3618 S Union Ave APT 1, Chicago, IL 60609
(773)3764628

Connected to:

Lin Tang Phones & Addresses

3618 S Union Ave APT 1, Chicago, IL 60609 • (773)3764628
3618 Union Ave, Chicago, IL 60609 • (773)3764628 • (773)5235679
San Diego, CA
3618 S Union Ave #1, Chicago, IL 60609 • (773)2139922

Work

Company:

Mcs systems
Address:

10659 King Phillip Ct, Santee, CA 92071
Phones:

(619)3185072
Position:

Partner
Industries:

Computer and Computer Software Stores

Education

School / High School:

Columbia Law School

Skills

Languages: English • Chinese

Ranks

Licence:

New York - Currently registered
Date:

2012

Images

Specialities

Buyer's Agent • Listing Agent

Real Estate Brokers

Lin Tang, New York Agent

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Specialties:

Residential sales
Luxury homes
First time home buyers
Relocation
Property Management
Co-op

Work:

AC LAWRENCE
(646)3613311 (Phone)
License #10401248589

Client type:

Home Buyers
Renters

Property type:

Single Family Home
Condo/Townhome
Residential Rental

Skills:

Languages: English
Chinese

About:

LIN TANG Licensed Real Estate Salesperson 936 Broadway, New York, NY 10010 T 212.989.0880 C 646.361.3311 F 212.989.0550 [email protected] View My Listings

Isbn (Books And Publications)

Essay

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Author
Lin Yu Tang

ISBN #
7538706674

Us Patents

Methods And Processes For Non Invasive Assessment Of A Genetic Variation
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US Patent:

20140235474, Aug 21, 2014
Filed:

Jun 20, 2012
Appl. No.:

14/127912
Inventors:

Lin Tang - San Diego CA, US
Cosmin Deciu - San Diego CA, US
Assignee:

Sequenom, Inc. - San DIego CA
International Classification:

G06F 19/18
C12Q 1/68
US Classification:

506 9, 702 19
Abstract:

Provided in part herein are methods and processes that can be used for non-invasive assessment of a genetic variation which can lead to diagnosis of a particular medical condition or conditions. Such methods and processes can, for example, identify dissimilarities or similarities for one or more features between a subject data set and a reference data set, generate a multidimensional matrix, reduce the matrix into a representation and classify the representation into one or more groups. Methods and processes described herein are applicable to data in biotechnology and other fields.