Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Mai H. Vu"'
Autor:
Mai H. Vu, Ashkan Zehfroosh, Kristina Strother-Garcia, Michael Sebok, Jeffrey Heinz, Herbert G. Tanner
Publikováno v:
Frontiers in Robotics and AI, Vol 5 (2018)
This paper shows how methods from statistical relational learning can be used to address problems in grammatical inference using model-theoretic representations of strings. These model-theoretic representations are the basis of representing formal la
Externí odkaz:
https://doaj.org/article/a72244a536a249e89bd6d09b09491d22
Autor:
Herbert G. Tanner, Kristina Strother-Garcia, Ashkan Zehfroosh, Jeffrey Heinz, Michael A. Sebok, Mai H. Vu
Publikováno v:
Frontiers in Robotics and AI
Frontiers in Robotics and AI, Vol 5 (2018)
Frontiers in Robotics and AI, Vol 5 (2018)
This paper shows how methods from statistical relational learning can be used to address problems in grammatical inference using model-theoretic representations of strings. These model-theoretic representations are the basis of representing formal la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a285625516ac99265db17b4742202d2
https://pubmed.ncbi.nlm.nih.gov/33500955
https://pubmed.ncbi.nlm.nih.gov/33500955
Autor:
Jerrod W. Hunter, James B. Rand, Eleanor A. Mathews, Kiely Grundahl, Gregory P. Mullen, Mai H. Vu, Jamie D. Osborne, Angie Duke, Dennis L. Frisby, John A. Crowell
Publikováno v:
Genetics. 177:195-204
The cho-1 gene in Caenorhabditis elegans encodes a high-affinity plasma-membrane choline transporter believed to be rate limiting for acetylcholine (ACh) synthesis in cholinergic nerve terminals. We found that CHO-1 is expressed in most, but not all
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b8d51aff03cdc1c3ddc430aae8fb32f
https://doi.org/10.1534/genetics.107.074120
https://doi.org/10.1534/genetics.107.074120