| Autor: |
Paulo Czarnewski, Sara M. Parigi, Chiara Sorini, Oscar E. Diaz, Srustidhar Das, Nicola Gagliani, Eduardo J. Villablanca |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
Nature Communications, Vol 10, Iss 1, Pp 1-11 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
2041-1723 |
| DOI: |
10.1038/s41467-019-10769-x |
| Popis: |
Clinical and molecular heterogeneity of ulcerative colitis presents unresolved challenges to identify predictive biomarkers of response to therapies. Here, the authors combine mouse colitis time course with patient biopsy transcriptomes, achieving unsupervised clustering of UC patients correlating with therapeutic outcomes in independent data sets. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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