Statistically significant bacteria for Physical: Amalgam fillings using biomesight lab pipeline and genus taxonomy

This page has been revised to make visually clear the shifts and significance to non-statisticians. Statisticians are welcomed to download the full data and process it themselves.

Shift - the direction that the top and bottom 16% is expected to change. Note that the mean, median and other standard statistical method may not alter significantly
If there was independence - then the number below 16%ile and above 84%ile should be almost the same. Percentile is a uniform distribution and not a gaussian distribution
Prevalence - How often this taxa is identified by this lab pipeline
Chi2 with one degree of freedom - we evaluate two chi2 and report the highest only

Using this information have found significantly accurate prediction of symptoms on new people using the same pipeline. The same FASTQ file processed thru ubiome, Ombre, Biomesight and sequentia biotech; resulted in different genus being reported with different amounts. Clearly, the associations is processing pipeline dependent.

This table is regenerated every month on the 2nd using the latest data
Bacteria	Shift	Prevalence	Number below 16%ile	Number above 84%ile	Chi2
Clostridium	increases	99.96	1.0	19.0	6.75
Acholeplasma	increases	70.81	3.0	20.0	21.71
Rhodothermus	increases	92.04	3.0	23.0	16.56
Acetivibrio	increases	98.86	5.0	20.0	8.44
Caldicellulosiruptor	increases	92.84	5.0	21.0	11.83
Caloramator	increases	97.82	5.0	19.0	7.11
Tindallia	increases	85.86	4.0	19.0	9.2
Anaerovibrio	increases	90.45	6.0	21.0	11.83
Pedobacter	increases	98.82	2.0	21.0	11.31
Hymenobacter	increases	63.87	2.0	19.0	12.42
Alkaliphilus	increases	97.78	6.0	19.0	6.75
Peptoniphilus	increases	95.89	3.0	19.0	7.49
Carboxydocella	increases	57.13	5.0	16.0	10.14
Sedimentibacter	increases	97.84	8.0	20.0	9.76
Dolichospermum	increases	67.36	6.0	18.0	10.69
Pseudoclostridium	increases	84.22	6.0	19.0	7.11

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