Interactions with Prevotella bivia

Data Source:

`

There are several ways of doing association. At the bottom is trying linear regression on the percentiles. Doing linear regression of actual counts produce few results. For a blog post describing the process see Bacteria interacting with bacteria.

Above this is the association using Kalthrop-Moldrup Limits (Patent Pending) to determine non parametric association between High Levels and Low Levels. High levels may cause changes in other bacteria (for example, due to amount of natural antibiotics released) but no effect with low levels. Similarly the reverse.

Chi2 is truncated to 10000. Example Expected Count was 13.4, observed was 540


Calculated from Fy(y)=a + (slope) Fx(x). F(x) are custom monotonic functions. See this post for technical notes on computation

RankBacteriaSlope
Relative Impact
Percentage ExplainedImpact
family Clostridiales Family XI. Incertae Sedis 48% 33.6% 16.1%
family Peptoniphilaceae 43.3% 19.2% 8.3%
genus Anaerococcus 51.8% 27.1% 14%
genus Finegoldia 54.7% 28.1% 15.4%
genus Peptostreptococcus 50.7% 25.4% 12.9%
species Anaerococcus octavius 46.6% 18.6% 8.7%
species Dialister propionicifaciens 47.8% 20.7% 9.9%
species Finegoldia magna 53.6% 26.1% 14%
species Hoylesella timonensis 48.3% 21.9% 10.6%
species Peptoniphilus sp. 1-14 56.9% 31.4% 17.9%
species Peptostreptococcus anaerobius 57.9% 22.1% 12.8%
species Prevotella disiens 53.4% 24.8% 13.3%

This is an Academic site. It generates theoretical models of what may benefit a specific microbiome results.

Copyright 2016-2023 Lassesen Consulting, LLC [2007], DBA, Microbiome Prescription. All rights served.
Permission to data scrap or reverse engineer is explicitly denied to all users. U.S. Code Title 18 PART I CHAPTER 47 Β§β€―1030, CETS No.185, CFAA
Use of data on this site is prohibited except under written license. There is no charge for individual personal use. Use for any commercial applications or research requires a written license.
Caveat emptor: Analysis and suggestions are based on modelling (and thus infererence) based on studies. The data sources are usually given for those that wish to consider alternative inferences. theories and models.
Inventions/Methodologies on this site are Patent Pending.

Microbiome Prescription do not make any representations that data or analyses available on this site is suitable for human diagnostic purposes, for informing treatment decisions, or for any other purposes and accept no responsibility or liability whatsoever for such use.
This site is not Health Insurance Portability and Accountability Act of 1996 (HIPAA) compliant.


The awesome web hosting site that we use. Try it if you need to host (or unhappy with current provider)