Identification of Key Genes Associated with Polycystic Ovarian Syndrome and Endometrial and Ovarian Cancer through Bioinformatics

Background: Polycystic ovary syndrome (PCOS), a common endocrine disorder, is linked to increased risks of endometrial cancer (EC) and ovarian cancer (OC). Our study utilises bioinformatics analysis to identify shared gene signatures and elucidate biological processes between EC and OC and PCOS. Aim...

Volledige beschrijving

Bewaard in:
Bibliografische gegevens
Hoofdauteurs: Karishma Raulo (Auteur), Sahar Qazi (Auteur)
Formaat: Boek
Gepubliceerd in: Wolters Kluwer Medknow Publications, 2024-06-01T00:00:00Z.
Onderwerpen:
Online toegang:Connect to this object online.
Tags: Voeg label toe
Geen labels, Wees de eerste die dit record labelt!

Internet

Connect to this object online.

3rd Floor Main Library

Exemplaargegevens van 3rd Floor Main Library
Plaatsingsnummer: A1234.567
Kopie 1 Beschikbaar