Experimental validation. by Wan-Jing Zhen (20427813)

Subjects:

GO and KEGG analysis. by Wan-Jing Zhen (20427813)

Subjects:

S3 Fig - by Wan-Jing Zhen (20427813)

Subjects:

KEGG enrichment analysis. by Wan-Jing Zhen (20427813)

Subjects:

GSEA results. by Wan-Jing Zhen (20427813)

Subjects:

GO enrichment analysis. by Wan-Jing Zhen (20427813)

Subjects:

The growth of co-transformed cells in the peritoneal cavity alters viral gene expression to mirror that of PEL cell lines. by Mitchell Hayes (5334887)

Model Set Test for Prais–Winsten AR(1) Regression. by Muhummad Khairul Islam (21955544)

The growth of co-transformed cells in the peritoneal cavity alters their cellular gene expression to mirror that of PEL biopsies. by Mitchell Hayes (5334887)

Co-infected cells express both KSHV and EBV genes <i>in vitro</i> necessary for their survival and growth. by Mitchell Hayes (5334887)

This is the data set that we used to reach the conclusions drawn in the manuscript with related metadata and methods. by Farayi Kaseke (19560197)

Co-transformed cells grow preferentially as tumors in peritoneal cavities. by Mitchell Hayes (5334887)

A set of 5 criteria for the needs of multi-criteria evaluation–combination A. by Roman Vavrek (13200141)

Overview of the parameters used in the model. by Albertus Constantijn Sloof (20405090)

“…</p><p>Conclusions</p><p>The findings highlight the critical role of timely vaccination interventions in outbreak settings, demonstrating that even modest coverage levels can markedly decrease the spread of CHIKV. …”

Mortality rates per lifecycle stage [28]. by Albertus Constantijn Sloof (20405090)

“…</p><p>Conclusions</p><p>The findings highlight the critical role of timely vaccination interventions in outbreak settings, demonstrating that even modest coverage levels can markedly decrease the spread of CHIKV. …”

S1 File - by Chantelle M. de Vet (16535257)

“…</p><p>Conclusions</p><p>A clear learning effect was observed by the significant decrease in variability of the difference in the score between the expert and trainees over time. …”

GLS analysis with 2D-STE software. by Chantelle M. de Vet (16535257)

“…</p><p>Conclusions</p><p>A clear learning effect was observed by the significant decrease in variability of the difference in the score between the expert and trainees over time. …”

A set of 4 criteria for the needs of multi-criteria evaluation ‐ combinations B1– B5. by Roman Vavrek (13200141)

A set of 3 criteria for the needs of multi-criteria evaluation ‐ combinations C1–C10. by Roman Vavrek (13200141)

A set of 2 criteria for the needs of multi-criteria evaluation ‐ combinations D1–D10. by Roman Vavrek (13200141)