Томас Кран е обявил нов предиктор за мъжките хаплогрупи, който може да се ползва от неговия сайт. Той бил създаден в сътрудничество с Хантър Провин. Не е ясно дали ще е по-полезен за нас от Невген, ако е ориентиран повече към западняшките хаплотипи, които са в базата данни на YSEQ.
https://predict.yseq.net
Together with Hunter Provyn we have developed a YSEQ predictor based on machine learning software (Random Forest method). We're still in the testing phase and we welcome your feedback. Of course the YSEQ predictor is free to use and we have released the code as open source.
The YSEQ Haplogroup Predictor was influenced by the ideas of Whit Athey's Haplogroup Predictor (2006) and the NevGen Predictor from Milos Cetkovic Gentula and Aco Nevski (2014).
While both mentioned haplogroup predictors use a Bayesian-Allele-Frequency approach, this YSEQ predictor uses machine learning with the random forest technique.
Machine learning is in its infancy, so this predictor is unlikely to give you better or more precise results than the Bayesian predictor types, but at least you can consider it as a second opinion with an independent method.
Note that the YSEQ predictor is based on results of YSEQ customers, but it doesn't reveal the underlying STR profiles and original sample donors (they are not even stored on this web server at all). A computer based random number generator is the origin for creating random decision trees which are then just tested with a real life truth set. The teaching process simply selects the best decision trees and uses them for the prediction process.
Please consider this beta version as an experiment which is largely untested and which needs a lot of improvements for reliable haplogroup predictions. We hope that when the number of samples increases, more and more outlier cases will be covered and considered for the prediction. We hope that this tool will become useful for the genetic genealogy community. The YSEQ Haplogroup Predictor comes with no warranty, explicit or implied.
https://predict.yseq.net
Together with Hunter Provyn we have developed a YSEQ predictor based on machine learning software (Random Forest method). We're still in the testing phase and we welcome your feedback. Of course the YSEQ predictor is free to use and we have released the code as open source.
The YSEQ Haplogroup Predictor was influenced by the ideas of Whit Athey's Haplogroup Predictor (2006) and the NevGen Predictor from Milos Cetkovic Gentula and Aco Nevski (2014).
While both mentioned haplogroup predictors use a Bayesian-Allele-Frequency approach, this YSEQ predictor uses machine learning with the random forest technique.
Machine learning is in its infancy, so this predictor is unlikely to give you better or more precise results than the Bayesian predictor types, but at least you can consider it as a second opinion with an independent method.
Note that the YSEQ predictor is based on results of YSEQ customers, but it doesn't reveal the underlying STR profiles and original sample donors (they are not even stored on this web server at all). A computer based random number generator is the origin for creating random decision trees which are then just tested with a real life truth set. The teaching process simply selects the best decision trees and uses them for the prediction process.
Please consider this beta version as an experiment which is largely untested and which needs a lot of improvements for reliable haplogroup predictions. We hope that when the number of samples increases, more and more outlier cases will be covered and considered for the prediction. We hope that this tool will become useful for the genetic genealogy community. The YSEQ Haplogroup Predictor comes with no warranty, explicit or implied.
МтДнк: Т2