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of 3
pro vyhledávání: '"Robert Fullem"'
Autor:
Emily L. LaPlante, Alessandra Stürchler, Robert Fullem, David Chen, Anne C. Starner, Emmanuel Esquivel, Eric Alsop, Andrew R. Jackson, Ionita Ghiran, Getulio Pereira, Joel Rozowsky, Justin Chang, Mark B. Gerstein, Roger P. Alexander, Matthew E. Roth, Jeffrey L. Franklin, Robert J. Coffey, Robert L. Raffai, Isabelle M. Mansuy, Stavros Stavrakis, Andrew J. deMello, Louise C. Laurent, Yi-Ting Wang, Chia-Feng Tsai, Tao Liu, Jennifer Jones, Kendall Van Keuren-Jensen, Eric Van Nostrand, Bogdan Mateescu, Aleksandar Milosavljevic
Publikováno v:
Cell genomics, vol 3, iss 5
Although the role of RNA binding proteins (RBPs) in extracellular RNA (exRNA) biology is well established, their exRNA cargo and distribution across biofluids are largely unknown. To address this gap, we extend the exRNA Atlas resource by mapping exR
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74746fd163b449889a453e8421173f54
https://escholarship.org/uc/item/0sd5f4jf
https://escholarship.org/uc/item/0sd5f4jf
Publikováno v:
Emerging Topics in Life Sciences
AI is a broad concept, grouping initiatives that use a computer to perform tasks that would usually require a human to complete. AI methods are well suited to predict clinical outcomes. In practice, AI methods can be thought of as functions that lear
Autor:
Mary Shimoyama, Judith A. Blake, Thom Kaufman, Christopher J. Mungall, Valentina DiFrancesco, Carol J. Bult, Norbert Perrimon, Paul W. Sternberg, Monte Westerfield, Brian R. Calvi, Kevin L. Howe, J. Michael Cherry, Robert Fullem, Paul Thomas
Publikováno v:
Genetics
Model organisms are essential experimental platforms for discovering gene functions, defining protein and genetic networks, uncovering functional consequences of human genome variation, and for modeling human disease. For decades, researchers who use