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High throughput estimation of functional cell activities reveals disease mechanisms and predicts relevant clinical outcomes
Marta R. Hidalgo, Cankut Cubuk, View ORCID ProfileAlicia Amadoz, Francisco Salavert, View ORCID ProfileJosé Carbonell-Caballero, View ORCID ProfileJoaquin Dopazo
doi: https://doi.org/10.1101/076083
Marta R. Hidalgo
1Computational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), C/ Eduardo Primo Yufera 3, Valencia, 46012, Spain
Cankut Cubuk
1Computational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), C/ Eduardo Primo Yufera 3, Valencia, 46012, Spain
Alicia Amadoz
1Computational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), C/ Eduardo Primo Yufera 3, Valencia, 46012, Spain
2Functional Genomics Node (INB), C/ Eduardo Primo Yufera 3, Valencia, 46012, Spain
Francisco Salavert
1Computational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), C/ Eduardo Primo Yufera 3, Valencia, 46012, Spain
3Bioinformatics in Rare Diseases (BiER), Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), C/ Eduardo Primo Yufera 3, Valencia, 46012, Spain
José Carbonell-Caballero
1Computational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), C/ Eduardo Primo Yufera 3, Valencia, 46012, Spain
Joaquin Dopazo
1Computational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), C/ Eduardo Primo Yufera 3, Valencia, 46012, Spain
2Functional Genomics Node (INB), C/ Eduardo Primo Yufera 3, Valencia, 46012, Spain
3Bioinformatics in Rare Diseases (BiER), Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), C/ Eduardo Primo Yufera 3, Valencia, 46012, Spain
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Posted September 19, 2016.
High throughput estimation of functional cell activities reveals disease mechanisms and predicts relevant clinical outcomes
Marta R. Hidalgo, Cankut Cubuk, Alicia Amadoz, Francisco Salavert, José Carbonell-Caballero, Joaquin Dopazo
bioRxiv 076083; doi: https://doi.org/10.1101/076083
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