Integrated Statistical and Machine Learning Algorithms for Predicting and Classifying G Protein-Coupled Receptors

Text Registration

Integrated Statistical and Machine Learning Algorithms for Predicting and Classifying G Protein-Coupled Receptors

Status

Published

on 14 Mar 2019

Year of Creation

2018

Fredrick Ayivor

Registration Number

TX0008692956

on 14 Mar 2019

The U.S. Copyright record (Registration Number: TX0008692956) dated 14 Mar 2019, pertains to an electronic file (eService) titled "Integrated Statistical and Machine Learning Algorithms for Predicting and Classifying G Protein-Coupled Receptors" created in 2018. The copyright holder is Fredrick Ayivor, known for their creative contributions in text registration. For any inquiries concerning this copyrighted material, kindly reach out to Fredrick Ayivor.

Fredrick Ayivor

Application Details

Registration Number

TX0008692956

Registration Date

3/14/2019

Year of Creation

2018

Agency Marc Code

DLC-CO

Record Status

New

Physical Description

Electronic file (eService)

First Publication Nation

United States

Personal Authors

Fredrick Ayivor

Notes

Rights Note: Mark Dill, ProQuest-CSA, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600, disspub@proquest.com

Statements

Application Title Statement: Integrated Statistical and Machine Learning Algorithms for Predicting and Classifying G Protein-Coupled Receptors

Author Statement: Fredrick Ayivor Citizenship: not known Authorship: text

Notes

Rights Note: Mark Dill, ProQuest-CSA, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600, disspub@proquest.com

Statements

Application Title Statement: Integrated Statistical and Machine Learning Algorithms for Predicting and Classifying G Protein-Coupled Receptors

Author Statement: Fredrick Ayivor Citizenship: not known Authorship: text

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