Rajmonda S Caceres - JoVE Visualize

Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Policies

Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Policies

Filters

Rajmonda S Caceres

Showing results (1-10 of 3) with videos related to

Pageof 1

Sort By:

Physical Review. X|February 16, 2018

Super-Resolution Community Detection for Layer-Aggregated Multilayer NetworksDane Taylor, Rajmonda S Caceres, Peter J Mucha

Scientific Reports|September 10, 2021

Explaining COVID-19 outbreaks with reactive SEIRD modelsKunal Menda, Lucas Laird, Mykel J Kochenderfer, et al.

Nature Communications|June 12, 2023

Machine learning optimization of candidate antibody yields highly diverse sub-nanomolar affinity antibody librariesLin Li, Esther Gupta, John Spaeth, et al.

Pageof 1

Search research articles

Showing results (1-10 of 3) with videos related to

Sort By:

Pageof 1

Physical Review. X|February 16, 2018

Super-Resolution Community Detection for Layer-Aggregated Multilayer NetworksDane Taylor, Rajmonda S Caceres, Peter J Mucha

Scientific Reports|September 10, 2021

Explaining COVID-19 outbreaks with reactive SEIRD modelsKunal Menda, Lucas Laird, Mykel J Kochenderfer, et al.

Nature Communications|June 12, 2023

Machine learning optimization of candidate antibody yields highly diverse sub-nanomolar affinity antibody librariesLin Li, Esther Gupta, John Spaeth, et al.

Pageof 1