From comorbidities to gene expression fingerprints and back
Visualitza/Obre
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/346620
Tipus de documentText en actes de congrés
Data publicació2021-05
EditorBarcelona Supercomputing Center
Condicions d'accésAccés obert
Tots els drets reservats. Aquesta obra està protegida pels drets de propietat intel·lectual i
industrial corresponents. Sense perjudici de les exempcions legals existents, queda prohibida la seva
reproducció, distribució, comunicació pública o transformació sense l'autorització del titular dels drets
Abstract
Epidemiological evidence shows that some diseases tend to
co-occur more than expected by chance and that patientspecific
trends are observed. However, the molecular
processes underlying these phenomena remain unclear.
Here we exploit the accumulating RNA-seq data on human
diseases to calculate disease similarities at the transcriptomic
level. We build a disease similarity network that significantly
captures almost half of the medically known comorbidities,
substantially outperforming previously published methods and
providing biological explanations for such co-occurrences.
Additionally, we group patients from a given disease with a
similar expression profile into meta-patients and calculate
their molecular similarities with the analyzed diseases,
highlighting the need to study disease comorbidities within a
personalized medicine scope. Finally, we provide a web
application in which the networks and their underlying
molecular mechanisms can be easily inspected.
CitacióUrda-García, B.; Valencia, A. From comorbidities to gene expression fingerprints and back. A: . Barcelona Supercomputing Center, 2021, p. 68-69.
Fitxers | Descripció | Mida | Format | Visualitza |
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BSC_DS-2021-25_From Comorbidities to Gene.pdf | 608,2Kb | Visualitza/Obre |