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Identification of Cervical Cancer Key Regulators using Network Biology Approach - Supplementary tables

Creator:

Vyshenska, Dariia and Morgun, Andrey

Abstract:

This data contains large supplementary tables for the PhD dissertation of Dariia Vyshenska. Title of the Dissertation: "Identification of Cervical Cancer Key Regulators using Network Biology Approach" The dataset contains data from two types of research. Research #1: Identification of bacterial regulators of cervical cancer gene expression. It contains microbial...

Resource Type:

Dataset
Transkingdom network reveals bacterial players associated with cervical cancer gene expression program

Creator:

Lam, Khiem Chi, Vyshenska, Dariia, Hu, Jialu, Rodrigues, Richard Rosario, Nilsen, Anja, Zielke, Ryszard A., Brown, Nicholas Samuel, Aarnes, Eva-Katrine, Sikora, Aleksandra E., Shulzhenko, Natalia, Lyng, Heidi, and Morgun, Andrey

Abstract:

Cervical cancer is the fourth most common cancer in women worldwide with human papillomavirus (HPV) being the main cause the disease. Chromosomal amplifications have been identified as a source of upregulation for cervical cancer driver genes but cannot fully explain increased expression of immune genes in invasive carcinoma. Insight into...

Resource Type:

Article

Full Text:

May 2018 Accepted 15 August 2018 Published 19 September 2018 Corresponding authors Heidi Lyng
Identification of Cervical Cancer Key Regulators using Network Biology Approach

Creator:

Vyshenska, Dariia

Abstract:

Cervical cancer is the fourth most common cancer in women worldwide with human papillomavirus (HPV) being the main cause of the disease. Currently available treatment methods are limited and emphasize the need for discovery of new therapies that improve patient outcome. Chromosomal amplifications have been identified as a source of...

Resource Type:

Dissertation

Full Text:

possible without the support of our collaborators from Norway – Heidi Lyng and her colleagues. I would