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What are your thoughts on unscaled coordinates?
#1
I think they're kinda silly. 

I'm a Turk and with unscaled coordinates Phrygians and other Anatolians are very close to me distance-wise, which makes no sense because of my east Asian ancestry, which would strongly pull me away from their cluster.

On top of that it exaggerates my European admixture. Like I get modelled as half European and Half Anatolian, which again, makes no sense.

What are your takes on unscaled coordinates?
Anatolian pride

Target: Aeolus                                                Target: Aeolus
Distance: 2.5449% / 0.02544855                Distance: 2.2725% / 0.02272544

39.0 Greek_Logkas                                        46.0 Caria
34.8 Mycenaean                                             29.4 Greek_Logkas
26.2 Xiongnu                                                   24.6 Xiongnu   


Target: Aeolus
Distance: 1.6140% / 0.01613957
68.8 Turkey_WestByzantine
31.2 Turkic
Reply
#2
From the Global25 author himself, Davidski...

https://eurogenes.blogspot.com/2019/07/g...6102031007

Quote:The scaled coordinates produce more stable and realistic results most of the time. But use both and see what works better in each case in comparison to other methods and scientific literature.

July 13, 2019 at 2:32 AM
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#3
They are better than scaled definitely, at least for me, my family, Iberians and LATAM friends.

I'd say that just in R+nMonte3 with its penalty works the best, because in Vahaduo the results are horrible and don't look like the papers.
Alexander87 and Albruic like this post
23andMe: 55.5% European, 33.7% Indigenous American, 4.2% WANA, 3.4% SSA and 3.2% Unassigned
AncestryDNA: 57.27% Europe, 35.81% Indigenous Americas-Mexico, 3.46% MENA and 3.45% SSA
FamilyTreeDNA: 56.9% Europe, 33% Americas, 8.2% MENA, <2% Horn of Africa and <1% Eastern India
Living DNA: 63.3% West Iberia, 34.3% Native Americas and 2.3% Yorubaland
MyHeritage DNA: 60.8% Mesoamerican & Andean, 21% European, 14.9% MENA and 3.3% Nigerian

[1] "penalty= 0.001"
[1] "Ncycles= 1000"
[1] "distance%=2.1116"

        Jalisciense

Iberian EMA,50.2
Native American,34.6
Guanche,7.4
Levantine EBA,4.6
African,3.2
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#4
(03-20-2024, 07:16 PM)Jalisciense Wrote: They are better than scaled definitely, at least for me, my family, Iberians and LATAM friends.

I'd say that just in R+nMonte3 with its penalty works the best, because in Vahaduo the results are horrible and don't look like the papers.

Where can I access Nmonte? I've tried to in the past, but it seems to have shut down. At least that's what I could gather a year ago when I researched about it.
Anatolian pride

Target: Aeolus                                                Target: Aeolus
Distance: 2.5449% / 0.02544855                Distance: 2.2725% / 0.02272544

39.0 Greek_Logkas                                        46.0 Caria
34.8 Mycenaean                                             29.4 Greek_Logkas
26.2 Xiongnu                                                   24.6 Xiongnu   


Target: Aeolus
Distance: 1.6140% / 0.01613957
68.8 Turkey_WestByzantine
31.2 Turkic
Reply
#5
(03-20-2024, 07:20 PM)Aeolus Wrote:
(03-20-2024, 07:16 PM)Jalisciense Wrote: They are better than scaled definitely, at least for me, my family, Iberians and LATAM friends.

I'd say that just in R+nMonte3 with its penalty works the best, because in Vahaduo the results are horrible and don't look like the papers.

Where can I access Nmonte? I've tried to in the past, but it seems to have shut down. At least that's what I could gather a year ago when I researched about it.

Davidski made a guide here, I just followed the steps:

https://eurogenes.blogspot.com/2019/07/g...2.html?m=1
Aeolus likes this post
23andMe: 55.5% European, 33.7% Indigenous American, 4.2% WANA, 3.4% SSA and 3.2% Unassigned
AncestryDNA: 57.27% Europe, 35.81% Indigenous Americas-Mexico, 3.46% MENA and 3.45% SSA
FamilyTreeDNA: 56.9% Europe, 33% Americas, 8.2% MENA, <2% Horn of Africa and <1% Eastern India
Living DNA: 63.3% West Iberia, 34.3% Native Americas and 2.3% Yorubaland
MyHeritage DNA: 60.8% Mesoamerican & Andean, 21% European, 14.9% MENA and 3.3% Nigerian

[1] "penalty= 0.001"
[1] "Ncycles= 1000"
[1] "distance%=2.1116"

        Jalisciense

Iberian EMA,50.2
Native American,34.6
Guanche,7.4
Levantine EBA,4.6
African,3.2
Reply
#6
(03-20-2024, 07:20 PM)Aeolus Wrote:
(03-20-2024, 07:16 PM)Jalisciense Wrote: They are better than scaled definitely, at least for me, my family, Iberians and LATAM friends.

I'd say that just in R+nMonte3 with its penalty works the best, because in Vahaduo the results are horrible and don't look like the papers.

Where can I access Nmonte? I've tried to in the past, but it seems to have shut down. At least that's what I could gather a year ago when I researched about it.

nmonte/nmonte3.R at master · tipirneni/nmonte · GitHub
Aeolus likes this post
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#7
(03-20-2024, 07:07 PM)AimSmall Wrote: From the Global25 author himself, Davidski...

https://eurogenes.blogspot.com/2019/07/g...6102031007

Quote:The scaled coordinates produce more stable and realistic results most of the time. But use both and see what works better in each case in comparison to other methods and scientific literature.

July 13, 2019 at 2:32 AM

BTW did Davidski ever explain what the difference between unscaled and scaled is and why the fits are so good with unscaled vs with scaled?
Anatolian pride

Target: Aeolus                                                Target: Aeolus
Distance: 2.5449% / 0.02544855                Distance: 2.2725% / 0.02272544

39.0 Greek_Logkas                                        46.0 Caria
34.8 Mycenaean                                             29.4 Greek_Logkas
26.2 Xiongnu                                                   24.6 Xiongnu   


Target: Aeolus
Distance: 1.6140% / 0.01613957
68.8 Turkey_WestByzantine
31.2 Turkic
Reply
#8
(03-20-2024, 10:58 PM)Aeolus Wrote:
(03-20-2024, 07:07 PM)AimSmall Wrote: From the Global25 author himself, Davidski...

https://eurogenes.blogspot.com/2019/07/g...6102031007

Quote:The scaled coordinates produce more stable and realistic results most of the time. But use both and see what works better in each case in comparison to other methods and scientific literature.

July 13, 2019 at 2:32 AM

BTW did Davidski ever explain what the difference between unscaled and scaled is and why the fits are so good with unscaled vs with scaled?

Unscaled are your real G25 values and scaled is a filtered version of them.

Scaling works by multiplying each coordinate by its squarerooted eigenvalue, so in high dimensions doesn't work fine (Unlike unscaled) because main differences between populations (Especially similar ones) are in the higher dimensions.

So I guess multiplying eigenvalues would increase the distance %.
23andMe: 55.5% European, 33.7% Indigenous American, 4.2% WANA, 3.4% SSA and 3.2% Unassigned
AncestryDNA: 57.27% Europe, 35.81% Indigenous Americas-Mexico, 3.46% MENA and 3.45% SSA
FamilyTreeDNA: 56.9% Europe, 33% Americas, 8.2% MENA, <2% Horn of Africa and <1% Eastern India
Living DNA: 63.3% West Iberia, 34.3% Native Americas and 2.3% Yorubaland
MyHeritage DNA: 60.8% Mesoamerican & Andean, 21% European, 14.9% MENA and 3.3% Nigerian

[1] "penalty= 0.001"
[1] "Ncycles= 1000"
[1] "distance%=2.1116"

        Jalisciense

Iberian EMA,50.2
Native American,34.6
Guanche,7.4
Levantine EBA,4.6
African,3.2
Reply
#9
I have so many notes in my collection in OneNote, but the links reference back to AG.  I like to source all my notes.

Anyways, I'll refer you to this thread with particular attention to Dr. Huijbregt's reply.  Note, he is the author of the previously mentioned nMonte3.R code.

https://genoplot.com/discussions/topic/2...-or-off/10

What's missing from genoplot's version is his graphic which I still retain.

   
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#10
These questions come up routinely over the years on scaled vs unscaled. Another thread I keep in my collection is this one.

https://www.theapricity.com/forum/showth...scaled-why&p=6833064&viewfull=1#post6833064
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#11
(03-20-2024, 11:32 PM)AimSmall Wrote: These questions come up routinely over the years on scaled vs unscaled.  Another thread I keep in my collection is this one.

https://www.theapricity.com/forum/showth...ost6833064

Thanks!
Anatolian pride

Target: Aeolus                                                Target: Aeolus
Distance: 2.5449% / 0.02544855                Distance: 2.2725% / 0.02272544

39.0 Greek_Logkas                                        46.0 Caria
34.8 Mycenaean                                             29.4 Greek_Logkas
26.2 Xiongnu                                                   24.6 Xiongnu   


Target: Aeolus
Distance: 1.6140% / 0.01613957
68.8 Turkey_WestByzantine
31.2 Turkic
Reply
#12
(03-20-2024, 11:31 PM)AimSmall Wrote: I have so many notes in my collection in OneNote, but the links reference back to AG.  I like to source all my notes.

Anyways, I'll refer you to this thread with particular attention to Dr. Huijbregt's reply.  Note, he is the author of the previously mentioned nMonte3.R code.

https://genoplot.com/discussions/topic/2...-or-off/10

What's missing from genoplot's version is his graphic which I still retain.

Interesting read. So basically unscaled does give more accurate results with better fits, while scaled often requires overfitting for it to give a proper fit?

That matches with my own experience as well tbh. I need a massive overfit to get a fit of 1.1 for instance on scaled.

The reason I'm so suspicious of unscaled is just the distances are very close. Like the distance to Greece_Logkas is like 3 for me, Turkic Central Asian is 4, which is both way too close. 10 seems to be more realistic.
Anatolian pride

Target: Aeolus                                                Target: Aeolus
Distance: 2.5449% / 0.02544855                Distance: 2.2725% / 0.02272544

39.0 Greek_Logkas                                        46.0 Caria
34.8 Mycenaean                                             29.4 Greek_Logkas
26.2 Xiongnu                                                   24.6 Xiongnu   


Target: Aeolus
Distance: 1.6140% / 0.01613957
68.8 Turkey_WestByzantine
31.2 Turkic
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