Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Harris T. Lin"'
Autor:
Nicholas P. L. Tuckey, David T. Ashton, Jiakai Li, Harris T. Lin, Seumas P. Walker, Jane E. Symonds, Maren Wellenreuther
Publikováno v:
Aquaculture, Fish and Fisheries, Vol 2, Iss 5, Pp 402-413 (2022)
Abstract Selective breeding programmes depend on high‐quality measurements of phenotype and genotype with repeated individualised phenotype measurements throughout the life cycle being optimal. Recent advances in electronics and computer vision tec
Externí odkaz:
https://doaj.org/article/197f90b82f994cb4a38fc9f0d26b909d
Autor:
Krishna Moorthy Babu, Daniel Bentall, David T. Ashton, Morgan Puklowski, Warren Fantham, Harris T. Lin, Nicholas P. L. Tuckey, Maren Wellenreuther, Linley K. Jesson
Publikováno v:
Journal of the Royal Society of New Zealand. 53:52-68
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8803b26041d4713f66e629492f862bd6
https://doi.org/10.1080/03036758.2022.2101484
https://doi.org/10.1080/03036758.2022.2101484
Publikováno v:
Computational biology and chemistry. 101
Small RNA (sRNA)-mediated RNA interference (RNAi) is a conserved eukaryotic cellular process associated with immune defense and pathogen virulence. The cross-kingdom transfer of noncoding regulatory sRNAs between host and pathogen can be mediated via
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::191ed525b50ac81f43157062e8f40d60
https://pubmed.ncbi.nlm.nih.gov/36183452
https://pubmed.ncbi.nlm.nih.gov/36183452
Autor:
null Nicholas P. L. Tuckey, null David T. Ashton, null Jiakai Li, null Harris T. Lin, null Seumas P. Walker, null Jane E. Symonds, null Maren Wellenreuther
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78f96a1415401211eddb59d179051d2f
https://doi.org/10.1002/aff2.66/v2/response1
https://doi.org/10.1002/aff2.66/v2/response1
Autor:
Harris T. Lin, Andrew Nelson, Nihan Aydemir, Andrew V. Kralicek, Roshan Khadka, Jadranka Travas-Sejdic, Colm Carraher, Damon Colbert, Jamal Cheema
Publikováno v:
Sensors and Actuators B: Chemical. 329:129243
An electrochemical sensing methodology using an insect odorant receptor (iOR) as the biological recognition element for detection of odorant compounds is presented. Or22a from the fruit fly Drosophila melanogaster (DmOr22a) was used as a model recept
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06d40772db589270168a2e3e201b8838
https://doi.org/10.1016/j.snb.2020.129243
https://doi.org/10.1016/j.snb.2020.129243
Autor:
Vasant Honavar, Harris T. Lin
The emergence of many interlinked, physically distributed, and autonomously maintained linked data sources amounts to the rapid growth of Linked Open Data (LOD) cloud, which offers unprecedented opportunities for predictive modeling and knowledge dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80f652afe937584626dfb297e060d3ea
https://doi.org/10.31274/etd-180810-3573
https://doi.org/10.31274/etd-180810-3573
Publikováno v:
IEEE BigData
Rapid growth of RDF data in the Linked Open Data (LOD) cloud offers unprecedented opportunities for analyzing such data using machine learning algorithms. The massive size and distributed nature of LOD cloud present a challenging machine learning pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7acdd1a368cad5f0455720ba295c29da
https://doi.org/10.1109/bigdata.2015.7363953
https://doi.org/10.1109/bigdata.2015.7363953
Publikováno v:
BigData Congress
Many big data applications give rise to distributional data wherein objects or individuals are naturally represented as K-tuples of bags of feature values where feature values in each bag are sampled from a feature and object specific distribution. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::957d416c3d8c600d9611a502bb9c5d65
https://doi.org/10.1109/bigdata.congress.2013.47
https://doi.org/10.1109/bigdata.congress.2013.47
Autor:
Vasant Honavar, Harris T. Lin
Publikováno v:
BigData Congress
The emergence of many interlinked, physically distributed, and autonomously maintained RDF stores offers unprecedented opportunities for predictive modeling and knowledge discovery from such data. However existing machine learning approaches are limi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98cdb4b9f6004fd0f7b3807641414a28
https://doi.org/10.1109/bigdata.congress.2013.22
https://doi.org/10.1109/bigdata.congress.2013.22
Publikováno v:
ICDE Workshops
The emergence of large and distributed RDF data in the Linked Open Data cloud calls for approaches to extract useful knowledge using machine learning techniques such as clustering. However, the massive size and remote nature of RDF data hinder tradit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37d0fbbcffb27ffc7c076e3152204c2e
https://doi.org/10.1109/icdew.2013.6547456
https://doi.org/10.1109/icdew.2013.6547456