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Status |
Public on Jan 31, 2024 |
Title |
Discovery study in endometrial samples using RNA-HighSeq to build classifiers to differentiate between control patients and adenomyosis, ovarian endometriosis and deep infiltrating endometriosis |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by high throughput sequencing
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Summary |
A discovery study using RNA-HighSeq from 37 endometrial biopsies was performed to build classifiers that differentiate between control patients and adenomyosis, ovarian endometriosis and deep infiltrating endometriosis. Total RNA was extracted from endometrial biopsies. We found an AUC of 0.97 where the classifier differentiated almost perfectly all three diseases together from the control group when including 11 phenotypic variables of the patients in the classifier.
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Overall design |
Transcriptome analysis by RNASeq of endometrial samples from control patients, women suffering from ovarian and deep infiltrating endometriosis as well women suffering from as adenomyosis.
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Contributor(s) |
Santamaria X, Vallvé-Juanico J |
Citation missing |
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Submission date |
Jan 18, 2022 |
Last update date |
Jan 31, 2024 |
Contact name |
Xavier Santamaria |
E-mail(s) |
juls.vallve@gmail.com, xsantamaria@bioliquid.es
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Phone |
935950444
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Organization name |
Bioliquid Inovative Genetics SLU
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Street address |
Av. Diagonal 463 Bis Pl. 4
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City |
Barcelona |
State/province |
Barcelona |
ZIP/Postal code |
08036 |
Country |
Spain |
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Platforms (1) |
GPL11154 |
Illumina HiSeq 2000 (Homo sapiens) |
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Samples (37)
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Relations |
BioProject |
PRJNA798414 |