000 01429 a2200409 4500
005 20250518082538.0
264 0 _c20210503
008 202105s 0 0 eng d
022 _a2050-084X
024 7 _a10.7554/eLife.51503
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aWesolowska-Andersen, Agata
245 0 0 _aDeep learning models predict regulatory variants in pancreatic islets and refine type 2 diabetes association signals.
_h[electronic resource]
260 _beLife
_c01 2020
500 _aPublication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
650 0 4 _aChromatin
_xmetabolism
650 0 4 _aDeep Learning
650 0 4 _aDiabetes Mellitus, Type 2
_xgenetics
650 0 4 _aEpigenomics
650 0 4 _aGenetic Predisposition to Disease
650 0 4 _aGenome-Wide Association Study
650 0 4 _aHumans
650 0 4 _aIslets of Langerhans
_xmetabolism
650 0 4 _aModels, Theoretical
650 0 4 _aPolymorphism, Single Nucleotide
650 0 4 _aSignal Transduction
700 1 _aZhuo Yu, Grace
700 1 _aNylander, Vibe
700 1 _aAbaitua, Fernando
700 1 _aThurner, Matthias
700 1 _aTorres, Jason M
700 1 _aMahajan, Anubha
700 1 _aGloyn, Anna L
700 1 _aMcCarthy, Mark I
773 0 _teLife
_gvol. 9
856 4 0 _uhttps://doi.org/10.7554/eLife.51503
_zAvailable from publisher's website
999 _c30564259
_d30564259