학술논문
Systematic analysis and prediction of genes associated with monogenic disorders on human chromosome X
Document Type
article
Author
Elsa Leitão; Christopher Schröder; Ilaria Parenti; Carine Dalle; Agnès Rastetter; Theresa Kühnel; Alma Kuechler; Sabine Kaya; Bénédicte Gérard; Elise Schaefer; Caroline Nava; Nathalie Drouot; Camille Engel; Juliette Piard; Bénédicte Duban-Bedu; Laurent Villard; Alexander P. A. Stegmann; Els K. Vanhoutte; Job A. J. Verdonschot; Frank J. Kaiser; Frédéric Tran Mau-Them; Marcello Scala; Pasquale Striano; Suzanna G. M. Frints; Emanuela Argilli; Elliott H. Sherr; Fikret Elder; Julien Buratti; Boris Keren; Cyril Mignot; Delphine Héron; Jean-Louis Mandel; Jozef Gecz; Vera M. Kalscheuer; Bernhard Horsthemke; Amélie Piton; Christel Depienne
Source
Nature Communications, Vol 13, Iss 1, Pp 1-17 (2022)
Subject
Language
English
ISSN
2041-1723
Abstract
Discovering disease genes on the X chromosome can be particularly challenging. Here, the authors use features of known disease genes and machine learning to predict genes that remain to be associated with disorders on this chromosome.