Evolutionarily informed deep learning methods for predicting relative transcript abundance from DNA sequence

scientific article published on 06 March 2019

Evolutionarily informed deep learning methods for predicting relative transcript abundance from DNA sequence is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1073/PNAS.1814551116
P932PMC publication ID6431157
P698PubMed publication ID30842277

P50authorHai WangQ92177450
Edward BucklerQ30508077
María Katherine Mejía-GuerraQ81605868
P2093author name stringRavi Valluru
Guillaume Ramstein
Karl A Kremling
Jacob D Washburn
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P433issue12
P921main subjectdeep learningQ197536
P304page(s)5542-5549
P577publication date2019-03-06
P1433published inProceedings of the National Academy of Sciences of the United States of AmericaQ1146531
P1476titleEvolutionarily informed deep learning methods for predicting relative transcript abundance from DNA sequence
P478volume116

Reverse relations

cites work (P2860)
Q64991577Breaking the curse of dimensionality to identify causal variants in Breeding 4.
Q64109104Machine learning and complex biological data
Q98464819Novel Secondary Ion Mass Spectrometry Methods for the Examination of Metabolic Effects at the Cellular and Subcellular Levels
Q90264618PANOMICS meets Germplasm
Q92642247Tissue-specific changes in the RNA structurome mediate salinity response in Arabidopsis

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