E-LIB Suche - Ergebnisse für: Bouakaze, Caroline

1

Predicting haplogroups using a versatile machine learning p..:

Bouakaze, Caroline ; Delehelle, Franklin ; Saenz-Oyhéréguy, Nancy...
Forensic Science International: Genetics. 48 (2020) - p. 102342 , 2020

Link: https://doi.org/10.1016/..

2

About 42% of 154 remains from the "Battle of Le Mans", Fran..:

Thèves, Catherine ; Cabot, Elodie ; Bouakaze, Caroline...
Forensic Science International. 262 (2016) - p. 30-36 , 2016

Link: https://doi.org/10.1016/..

3

Determined about sex: Sex-testing in 45 primate species usi..:

Cadamuro, Valérie Choesmel ; Bouakaze, Caroline ; Croze, Myriam...
Forensic Science International: Genetics. 14 (2015) - p. 96-107 , 2015

Link: https://doi.org/10.1016/..

4

Tuberculosis Epidemiology and Selection in an Autochthonous..:

Dabernat, Henri ; Thèves, Catherine ; Bouakaze, Caroline...
PLoS ONE. 9 (2014) 2 - p. e89877 , 2014

Link: https://doi.org/10.1371/..

5

Human evolution in Siberia: from frozen bodies to ancient D..:

Crubézy, Eric ; Amory, Sylvain ; Keyser, Christine...
BMC Evolutionary Biology. 10 (2010) 1 - p. 25 , 2010

Link: https://doi.org/10.1186/..

6

"OpenLAB": A 2‐hour PCR‐based practical for high school stu..:

Bouakaze, Caroline ; Eschbach, Judith ; Fouquerel, Elise...
Biochemistry and Molecular Biology Education. 38 (2010) 5 - p. 296-302 , 2010

Link: https://doi.org/10.1002/..

7

Ancient DNA provides new insights into the history of south..:

Keyser, Christine ; Bouakaze, Caroline ; Crubézy, Eric...
Human Genetics. 126 (2009) 3 - p. 395-410 , 2009

Link: https://doi.org/10.1007/..

8

Pigment phenotype and biogeographical ancestry from ancient..:

Bouakaze, Caroline ; Keyser, Christine ; Crubézy, Eric..
International Journal of Legal Medicine. 123 (2009) 4 - p. 315-325 , 2009

Link: https://doi.org/10.1007/..

9

Tracing back ancient south Siberian population history usin..:

Keyser, Christine ; Romac, Sarah ; Bouakaze, Caroline...
Forensic Science International: Genetics Supplement Series. 1 (2008) 1 - p. 343-345 , 2008

Link: https://doi.org/10.1016/..

10

Development and evaluation of the ancestry informative mark..:

De la Puente, María ; Ruiz-Ramíre, Jorge ; Ambroa-Conde, Adrián...
Genes, T. 12, nr 8. , 2021

Link: https://ruj.uj.edu.pl/xm..

11

Evaluation of supervised machine-learning methods for predi..:

Katsara, Maria-Alexandra ; Branicki, Wojciech ; Walsh, Susan...
Forensic Science International. Genetics, T. 53. , 2021

Link: https://ruj.uj.edu.pl/xm..

12

Predicting haplogroups using a versatile machine learning p..:

Bouakaze, Caroline ; Delehelle, Franklin ; Sáenz-Oyhéréguy, Nancy...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.fsigen.2020.102342. , 2020

Link: https://hal.science/hal-..

13

Predicting haplogroups using a versatile machine learning p..:

Bouakaze, Caroline ; Delehelle, Franklin ; Sáenz-Oyhéréguy, Nancy...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.fsigen.2020.102342. , 2020

Link: https://hal.science/hal-..

14

Predicting haplogroups using a versatile machine learning p..:

Bouakaze, Caroline ; Delehelle, Franklin ; Sáenz-Oyhéréguy, Nancy...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.fsigen.2020.102342. , 2020

Link: https://hal.science/hal-..

15

Predicting haplogroups using a versatile machine learning p..:

Bouakaze, Caroline ; Delehelle, Franklin ; Sáenz-Oyhéréguy, Nancy...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.fsigen.2020.102342. , 2020

Link: https://hal.science/hal-..