Machine learning-based phenotypic imaging to characterise the targetable biology of Plasmodium falciparum male gametocytes for the development of transmission-blocking antimalarials.
Saved in:
| Title: | Machine learning-based phenotypic imaging to characterise the targetable biology of Plasmodium falciparum male gametocytes for the development of transmission-blocking antimalarials. |
|---|---|
| Authors: | Tsebriy, Oleksiy1 (AUTHOR), Khomiak, Andrii1 (AUTHOR), Miguel-Blanco, Celia2 (AUTHOR), Sparkes, Penny C.3 (AUTHOR), Gioli, Maurizio4 (AUTHOR), Santelli, Marco1 (AUTHOR), Whitley, Edgar5 (AUTHOR), Gamo, Francisco-Javier2 (AUTHOR), Delves, Michael J.3 (AUTHOR) michael.delves@lshtm.ac.uk |
| Source: | PLoS Pathogens. 10/6/2023, Vol. 19 Issue 10, p1-21. 21p. |
| Database: | Academic Search Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 15537366 |
|---|---|
| DOI: | 10.1371/journal.ppat.1011711 |
