Shawn Z Gomez, Age 3841 Montana Ave, Buffalo, NY 14211

Shawn Gomez Phones & Addresses

41 Montana Ave, Buffalo, NY 14211 (716) 931-5567

35 Montana Ave, Buffalo, NY 14211

Cheektowaga, NY

Bronx, NY

Work

Company: General cleaning - Glendale, NY 2011 Position: Customer service

Education

School / High School: Transit Tech Career & Technical Education High School- New York, NY Jun 2011 Specialities: Diploma in Transit Industrial Electrical Program

Mentions for Shawn Z Gomez

Shawn Gomez resumes & CV records

Resumes

Shawn Gomez Photo 47

Night Supervisor

Location:
Buffalo, NY
Work:
Tops Markets
Night Supervisor
Shawn Gomez Photo 48

Shawn Gomez

Shawn Gomez Photo 49

Shawn Gomez

Shawn Gomez Photo 50

Shawn Gomez - Glendale, NY

Work:
GENERAL CLEANING - Glendale, NY 2011 to 2012
Customer service
Lighting Fixtures - New York, NY 2008 to 2011
TRANSIT TECH STUDENT
Education:
Transit Tech Career & Technical Education High School - New York, NY Jun 2011
Diploma in Transit Industrial Electrical Program
DeVry College of New York - New York, NY
Bachelor of Technology in Electronics Engineering Technology

Publications & IP owners

Us Patents

Method For The Prediction Of Molecular Interaction Networks

US Patent:
2003006, Apr 10, 2003
Filed:
Feb 11, 2002
Appl. No.:
10/073463
Inventors:
Andrey Rzhetsky - New York NY, US
Shaw-Hwa Lo - New York NY, US
Shawn Gomez - New York NY, US
International Classification:
C12Q001/00
G06G007/48
G06G007/58
US Classification:
435/004000, 703/011000
Abstract:
The present invention relates to a method for identifying unknown molecular interactions within biological networks based on representations of molecules as sets of conserved features. Such molecules include but are not limited to proteins and nucleic acid molecules which can be represented as collections of conserved features, such as domains and motifs in proteins. The method of the invention comprises computing the attraction probabilities between molecules followed by calculation of the probability of a biological network. The method of the invention can be applied across species, where interaction data from one, or several species, can be used to infer molecular interactions between molecules acting within or between organisms. The method of the present invention may be used to identify molecular interactions which can serve as drug screening targets.

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