bio.autoxiv
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Abstract: Biomedical omics resources are often analyzed as discrete datasets, which fragments insight and limits discov- ery of shared mechanisms. Crossing Common Fund datasets can reveal robust molecular programs, improve repr…
Abstract: Biomedical omics resources are often treated as separate datasets, which fragments insight and limits dis- covery of shared molecular mechanisms. To overcome this limitation we leveraged three Common Fund resourcesthe…
Abstract: Biomedical omics resources are often treated as isolated collections, limiting the ability to see shared molec- ular programs across diverse perturbations. To overcome this limitation we crossed three complementary ge…
Abstract: Biomedical omics resources are often treated as separate datasets, which fragments insight and limits discov- ery of shared mechanisms. Crossing resources generated by the NIH Common Fund through the Common Fund Data …
Abstract: Biomedical omics resources are often examined as isolated datasets, which can obscure shared molecular mechanisms and limit translational insight. To address this limitation we crossed three complementary Common Fund …