To do so and to address the inconsistency in sample collection, I had to develop MetaLonDA (https://t.co/kCfRYqKl5E), a statistical method for longitudinal differential abundance in metagenomics studies. MetaLonDA is publicly available on CRAN (https://t.c
MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metageno... https://t.co/puU4RrmZjM
RT @MicrobiomeJ: MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitud…
#MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in #metagenomic longitudinal studies https://t.co/midWvuZh8z
RT @Bsalbury: MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metageno... https://t.c…
RT @MicrobiomeJ: MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitud…
RT @Bsalbury: MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metageno... https://t.c…
RT @Bsalbury: MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metageno... https://t.c…
RT @Bsalbury: MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metageno... https://t.c…
MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metageno... https://t.co/kzETAB1skz #microbiome #bigdata #metagenomics #pvalues #nbdistribution #MetaLonDA #Rpackage #UIC
RT @metagenomic_lit: MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic long…
RT @metagenomics: [PubMed] MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomi…
RT @metagenomics: [PubMed] MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomi…
RT @metagenomic_lit: MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic long…
Interesting https://t.co/4oVpVXrFwr
MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitudinal studies. https://t.co/BR14WB23uF #microbiome https://t.co/6aErzaYWvq
RT @metagenomic_lit: MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic long…
RT @metagenomic_lit: MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic long…
RT @metagenomics: [PubMed] MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomi…
RT @metagenomic_lit: MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic long…
[PubMed] MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitudinal studies. https://t.co/GlBQ30F2he
MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitudinal studies. https://t.co/kv97ZEFp4W
RT @MicrobiomeJ: MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitud…
RT @MicrobiomeJ: MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitud…
RT @MicrobiomeJ: MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitud…
RT @MicrobiomeJ: MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitud…
MetaLonDA is published on the @MicrobiomeJ and is available now on CRAN Repository! Please go ahead and use it to identify significant time intervals of #metagenomic longitudinal features! Send me your comments/suggestions! https://t.co/LyAuY23IqD
RT @MicrobiomeJ: MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitud…
RT @MicrobiomeJ: MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitud…
RT @MicrobiomeJ: MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitud…
RT @MicrobiomeJ: MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitud…
RT @MicrobiomeJ: MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitud…
RT @MicrobiomeJ: MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitud…
RT @MicrobiomeJ: MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitud…
RT @MicrobiomeJ: MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitud…
RT @MicrobiomeJ: MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitud…
RT @MicrobiomeJ: MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitud…
RT @MicrobiomeJ: MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitud…
RT @MicrobiomeJ: MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitud…
RT @MicrobiomeJ: MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitud…
RT @MicrobiomeJ: MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitud…
MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitudinal studies https://t.co/KmX5rZAqo3
MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitudinal studies https://t.co/hn5i9a6Eub