Differential gene expression profile evaluation between uterine leiomyoma and leiomyosarcoma using a machine learning approach

Author:

Upadhyay Sonal,Bhushan Ravi,Tripathi Anima,Chaubey Lavina,Diwakar Amita,Dubey Pawan K.

Funder

Science and Engineering Research Board

Banaras Hindu University

Ministry of Science and Technology, Government of Nepal

Publisher

Elsevier BV

Subject

Obstetrics and Gynecology,Reproductive Medicine

Reference44 articles.

1. Comparative developmental biology of the mammalian uterus;Spencer;Curr Top Dev Biol,2005

2. Epidemiological and genetic clues for molecular mechanisms involved in uterine leiomyoma development and growth;Commandeur;Hum Reprod,2015

3. Detection of novel copy number variants in uterine leiomyomas using high-resolution SNP arrays;Bowden;Mol Hum Reprod,2009

4. New directions in the epidemiology of uterine fibroids;Laughlin;Semin Reprod Med,2010

5. A rare soft tissue cancer arising from multiple organs;Leiomyosarcoma;J Cancer Res and Pract,2018

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