Different features identified by machine learning associated with the HIV compartmentalization in semen

Author:

Peng Xiaorong,Zhu Biao

Publisher

Elsevier BV

Subject

Infectious Diseases,Microbiology (medical),Genetics,Molecular Biology,Ecology, Evolution, Behavior and Systematics,Microbiology

Reference25 articles.

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2. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing;Benjamini;J. R. Stat. Soc. Ser. B Methodol.,1995

3. HIV compartmentalization: a review on a clinically important phenomenon;Blackard;Curr. HIV Res.,2012

4. Hydrophobicity and structural classes in proteins;Cid;Protein Eng.,1992

5. Estimation of the breadth of CD4bs targeting HIV antibodies by molecular modeling and machine learning;Conti;PLoS Comput. Biol.,2019

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