Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Pamela A. Texter"'
Autor:
M. Heath Farris, Pamela A. Texter, Agustin A. Mora, Michael V. Wiles, Ellen F. Mac Garrigle, Sybil A. Klaus, Kristine Rosfjord
Publikováno v:
BMC Genomics, Vol 21, Iss 1, Pp 1-22 (2020)
Abstract Background The development and application of CRISPR technologies for the modification of the genome are rapidly expanding. Advances in the field describe new CRISPR components that are strategically engineered to improve the precision and r
Externí odkaz:
https://doaj.org/article/e65e94ab16aa42fb85f120ae284d11d6
Autor:
M. Heath Farris, Andrew R. Scott, Pamela A. Texter, Marta Bartlett, Patricia Coleman, David Masters
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-13 (2018)
Abstract Background Single nucleotide polymorphisms (SNPs) located within the human genome have been shown to have utility as markers of identity in the differentiation of DNA from individual contributors. Massively parallel DNA sequencing (MPS) tech
Externí odkaz:
https://doaj.org/article/6cc83976c1a843abaee08c3ba2ed790b
Autor:
David Masters, Marta Bartlett, Andrew R. Scott, Pamela A. Texter, M. Heath Farris, Patricia Coleman
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-13 (2018)
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-13 (2018)
Background Single nucleotide polymorphisms (SNPs) located within the human genome have been shown to have utility as markers of identity in the differentiation of DNA from individual contributors. Massively parallel DNA sequencing (MPS) technologies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1cc921ce0d6e3cea679546b2db0de46
https://doi.org/10.1186/s12859-018-2133-2
https://doi.org/10.1186/s12859-018-2133-2
Autor:
Pamela A. Texter, J. Keith Ord
Publikováno v:
International Journal of Forecasting. 5:209-215
The goal of automatic forecasting procedures is to select models which are as accurate as those produced by competent modelers. A major step in this process is deciding upon the order of differencing. Two standard tests, based upon linear regression
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a35cbce8cd242bb40aa46db391e3f983
https://doi.org/10.1016/0169-2070(89)90088-5
https://doi.org/10.1016/0169-2070(89)90088-5