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1دورية أكاديمية
المؤلفون: Kelly Yi Ping Liu, Sarah Yuqi Zhu, Alan Harrison, Zhao Yang Chen, Martial Guillaud, Catherine F. Poh
المصدر: PLoS ONE, Vol 16, Iss 11 (2021)
وصف الملف: electronic resource
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2دورية أكاديمية
المؤلفون: Ivan G. Horak, Christiaan R. Boshoff, David V. Cooper, Christoper M. Foggin, Danny Govender, Alan Harrison, Guy Hausler, Markus Hofmeyr, J. Werner Kilian, Duncan N. MacFadyen, Pierre J. Nel, Dean Peinke, David Squarre, David Zimmermann
المصدر: Onderstepoort Journal of Veterinary Research, Vol 84, Iss 1, Pp e1-e11 (2017)
مصطلحات موضوعية: White rhinoceroses, Black rhinoceroses, Ixodid ticks, Regional distribution, Conservation status, Southern Africa, Veterinary medicine, SF600-1100
وصف الملف: electronic resource
العلاقة: https://ojvr.org/index.php/ojvr/article/view/1301Test; https://doaj.org/toc/0030-2465Test; https://doaj.org/toc/2219-0635Test
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3دورية أكاديمية
المؤلفون: Alan Harrison
المساهمون: Presses Universitaires du Septentrion
المصدر: Études irlandaises 26(2):49-66
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4
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5دورية أكاديمية
المؤلفون: Kelly Yi Ping Liu (6038732), Sarah Yuqi Zhu (11648417), Alan Harrison (11648420), Zhao Yang Chen (11648423), Martial Guillaud (44485), Catherine F. Poh (3044727)
مصطلحات موضوعية: Cell Biology, Genetics, Molecular Biology, Biotechnology, Developmental Biology, Cancer, Mathematical Sciences not elsewhere classified, using random forest, two consecutive sections, significant prognostic factor, routine pathology tissue, quantitative nuclear phenotype, measuring nuclear morphology, model achieved 100, level model based, based model using, poorly differentiated tumors, nrs 8805, 35 patients diagnosed, 14 g2 tumors,
+early%22">xlink "> early, test set patients, differentiated tumors, %22">xlink ">, predictive model, 35 patients, test set, test sets, validated biomarkers, unprecedented opportunity العلاقة: https://figshare.com/articles/journal_contribution/Quantitative_tissue_phenotypes_/16931225Test
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6دورية أكاديمية
المؤلفون: Kelly Yi Ping Liu (6038732), Sarah Yuqi Zhu (11648417), Alan Harrison (11648420), Zhao Yang Chen (11648423), Martial Guillaud (44485), Catherine F. Poh (3044727)
مصطلحات موضوعية: Cell Biology, Genetics, Molecular Biology, Biotechnology, Developmental Biology, Cancer, Mathematical Sciences not elsewhere classified, using random forest, two consecutive sections, significant prognostic factor, routine pathology tissue, quantitative nuclear phenotype, measuring nuclear morphology, model achieved 100, level model based, based model using, poorly differentiated tumors, nrs 8805, 35 patients diagnosed, 14 g2 tumors,
+early%22">xlink "> early, test set patients, differentiated tumors, %22">xlink ">, predictive model, 35 patients, test set, test sets, validated biomarkers, unprecedented opportunity العلاقة: https://figshare.com/articles/journal_contribution/Definition_of_region_of_interest_/16931213Test
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7دورية أكاديمية
المؤلفون: Kelly Yi Ping Liu (6038732), Sarah Yuqi Zhu (11648417), Alan Harrison (11648420), Zhao Yang Chen (11648423), Martial Guillaud (44485), Catherine F. Poh (3044727)
مصطلحات موضوعية: Cell Biology, Genetics, Molecular Biology, Biotechnology, Developmental Biology, Cancer, Mathematical Sciences not elsewhere classified, using random forest, two consecutive sections, significant prognostic factor, routine pathology tissue, quantitative nuclear phenotype, measuring nuclear morphology, model achieved 100, level model based, based model using, poorly differentiated tumors, nrs 8805, 35 patients diagnosed, 14 g2 tumors,
+early%22">xlink "> early, test set patients, differentiated tumors, %22">xlink ">, predictive model, 35 patients, test set, test sets, validated biomarkers, unprecedented opportunity -
8دورية أكاديمية
المؤلفون: Kelly Yi Ping Liu (6038732), Sarah Yuqi Zhu (11648417), Alan Harrison (11648420), Zhao Yang Chen (11648423), Martial Guillaud (44485), Catherine F. Poh (3044727)
مصطلحات موضوعية: Cell Biology, Genetics, Molecular Biology, Biotechnology, Developmental Biology, Cancer, Mathematical Sciences not elsewhere classified, using random forest, two consecutive sections, significant prognostic factor, routine pathology tissue, quantitative nuclear phenotype, measuring nuclear morphology, model achieved 100, level model based, based model using, poorly differentiated tumors, nrs 8805, 35 patients diagnosed, 14 g2 tumors,
+early%22">xlink "> early, test set patients, differentiated tumors, %22">xlink ">, predictive model, 35 patients, test set, test sets, validated biomarkers, unprecedented opportunity -
9دورية أكاديمية
المؤلفون: Kelly Yi Ping Liu (6038732), Sarah Yuqi Zhu (11648417), Alan Harrison (11648420), Zhao Yang Chen (11648423), Martial Guillaud (44485), Catherine F. Poh (3044727)
مصطلحات موضوعية: Cell Biology, Genetics, Molecular Biology, Biotechnology, Developmental Biology, Cancer, Mathematical Sciences not elsewhere classified, using random forest, two consecutive sections, significant prognostic factor, routine pathology tissue, quantitative nuclear phenotype, measuring nuclear morphology, model achieved 100, level model based, based model using, poorly differentiated tumors, nrs 8805, 35 patients diagnosed, 14 g2 tumors,
+early%22">xlink "> early, test set patients, differentiated tumors, %22">xlink ">, predictive model, 35 patients, test set, test sets, validated biomarkers, unprecedented opportunity -
10دورية أكاديمية
المؤلفون: Kelly Yi Ping Liu (6038732), Sarah Yuqi Zhu (11648417), Alan Harrison (11648420), Zhao Yang Chen (11648423), Martial Guillaud (44485), Catherine F. Poh (3044727)
مصطلحات موضوعية: Cell Biology, Genetics, Molecular Biology, Biotechnology, Developmental Biology, Cancer, Mathematical Sciences not elsewhere classified, using random forest, two consecutive sections, significant prognostic factor, routine pathology tissue, quantitative nuclear phenotype, measuring nuclear morphology, model achieved 100, level model based, based model using, poorly differentiated tumors, nrs 8805, 35 patients diagnosed, 14 g2 tumors,
+early%22">xlink "> early, test set patients, differentiated tumors, %22">xlink ">, predictive model, 35 patients, test set, test sets, validated biomarkers, unprecedented opportunity