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Visit USCOPrediction of Chemical Activity Against Various Disease-Related Targets with Machine Learning Methods
Text Registration
Copyright Title
Prediction of Chemical Activity Against Various Disease-Related Targets with Machine Learning Methods
Status
Published
on 13 Jan 2021
Year of Creation
2020
Copyright Claimant
Srilatha Sakamuru
Registration Number
TX0008937337
on 13 Jan 2021Copyright Summary
The U.S. Copyright record (Registration Number: TX0008937337) dated 13 Jan 2021, pertains to an electronic file (eService) titled "Prediction of Chemical Activity Against Various Disease-Related Targets with Machine Learning Methods" created in 2020. The copyright holder is Srilatha Sakamuru, known for their creative contributions in text registration. For any inquiries concerning this copyrighted material, kindly reach out to Srilatha Sakamuru.
Application Details
Registration Number
TX0008937337
Registration Date
1/13/2021
Year of Creation
2020
Agency Marc Code
DLC-CO
Record Status
New
Physical Description
Electronic file (eService)
First Publication Nation
United States
Notes
Rights Note: Mark Dill, ProQuest, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600, disspub@proquest.com
Statements
Application Title Statement: Prediction of Chemical Activity Against Various Disease-Related Targets with Machine Learning Methods
Author Statement: Srilatha Sakamuru Citizenship: not known Authorship: text
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