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I made fun of this a day ago before you posted it.
Here, also 4 populations, much lower distance:
"sample": "Test1:Me_scaled",
"fit": 1.4047,
"AJ_average_scaled": 50.83,
"Romaniote_Jew": 45.83,
"Dai": 1.67,
"Iraqi_Jew": 1.67
Your result is obvious because your choice of populations. Half will obviously go to Russian and half will be distributed among the rest. That doesn't mean that the choice of non-Russian ethnic groups is correct.
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Yeah its vahaduo;
I dont understand what you mean. What is penalty in such context? Enlighten a noob
I need to choose one Russian population only?
Anyways i used whole datasheet as a source just for fun and thats what i got - i dunno why from the whole it chosed Spanish Asturias lel
гиф картинки
Last edited by Bakha; 10-03-2019 at 09:20 AM.
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Post your coordinates, maybe someone check you, or me later
Use also G25 Runner by yourself. http://185.144.156.77:3000/
I think it is easy tool...
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IMO i think the best algorithm in this case would be:
1) choose 1 or 2 russian populations as a base
2) choose uzbek
3) see the distance
4) try to add another possible populations that can be mixed in my uzbekistani side/or closely related
5) using exclusive method try to find the lowest distance using 2 russian populations 1 uzbek and one variable
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,PC1,PC2,PC3,PC4,PC5,PC6,PC7,PC8,PC9,PC10,PC11,PC12,PC13, PC14,PC15,PC16,PC17,PC18,PC19, PC20,PC21,PC22,PC23,PC24,PC25
GR_scaled,0.099026,0.05687,0.02225,0.02584,-0.000923,0. 011435,0.00047,0.004384,-0. 008181,-0.015672,0.00065,-0. 002698,0.006838,0.010046,-0. 004614,-0.009812,-0.016559,0. 001647,0.003897,-0.006878,0. 000499,-0.007666,-0.001602,-0. 005904,0.004311
,PC1,PC2,PC3,PC4,PC5,PC6,PC7,PC8,PC9,PC10,PC11,PC12,PC13, PC14,PC15,PC16,PC17,PC18,PC19, PC20,PC21,PC22,PC23,PC24,PC25
GR,0.0087,0.0056,0.0059,0.008,-0.0003,0.0041,0.0002,0.0019,- 0.004,-0.0086,0.0004,-0.0018, 0.0046,0.0073,-0.0034,-0.0074, -0.0127,0.0013,0.0031,-0.0055, 0.0004,-0.0062,-0.0013,-0. 0049,0.0036
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