Additional Information
Alpha diversity analysis algorithm 종류
알파 다양성을 분석할 수 있는 알고리즘의 종류는 매우 다양합니다. 마이크로바이옴 분석 뿐만 아니라 생태학적 분류 및 다른 분석에서도 사용되는 알파 다양성은 그 분석 업계마다 주로 사용되는 알고리즘이 다릅니다. 마이크로바이옴 분석은 Shannon, Simpson, Chao1 등을 주로 인용하며 그중, Shannon의 비중이 가장 높습니다.
1
Calculate the ACE metric(Abundance-based Coverage Estimator).
2
Calculate Berger-Parker dominance.
3
Calculate Brillouin index of alpha diversity.
4
Calculate chao1 richness estimator.
5
Calculate chao1 confidence interval.
6
Calculate dominance.
7
Calculate number of double occurrences(doubletons).
8
Calculate ENS_pie alpha diversity measure.
9
Calculate equitability(Shannon index corrected for number of OTUs).
10
Calculate Esty’s CI.
11
Calculate Fisher’s alpha, a metric of diversity.
12
Calculate the Gini index.
13
Calculate Good’s coverage of counts.
14
Calculate Kempton-Taylor Q index of alpha diversity.
15
Calculate Heip’s evenness measure.
16
Calculate single CI of the conditional uncovered probability.
17
Calculate single point estimate of conditional uncovered probability.
18
Calculate Margalef’s richness index.
19
Calculate McIntosh dominance index D.
20
Calculate McIntosh’s evenness measure E.
21
Calculate Menhinick’s richness index.
22
Calculate Michaelis-Menten fit to rarefaction curve of observed OTUs.
23
Calculate the number of distinct OTUs.
24
observed_species
Calculate observed OTUs, singles, and doubles.
25
Calculate observed OTUs, singles, and doubles.
26
simpson_reciprocal
Calculate observed OTUs, singles, and doubles.
27
Calculate Robbins’ estimator for the probability of unobserved outcomes.
28
Calculate Shannon entropy of counts, default in bits.
29
Calculate Simpson’s index.
30
Calculate Simpson’s evenness measure E.
31
Calculate number of single occurrences(singletons).
32
Calculate Strong’s dominance index.
33
PD_whole_tree