"CONFINED: distinguishing biological from technical sources of variation by leveraging multiple methylation datasets" - Mike Thompson et al @GenomeBiology https://t.co/V3ZTPQ7iLW
RT @BioDecoded: CONFINED: distinguishing biological from technical sources of variation by leveraging multiple methylation datasets | Genom…
RT @BioDecoded: CONFINED: distinguishing biological from technical sources of variation by leveraging multiple methylation datasets | Genom…
CONFINED: distinguishing biological from technical sources of variation by leveraging multiple methylation datasets https://t.co/XRX91fHOYG
RT @GenomeBiology: CONFINED: a reference-free method for separating biological from technical variation in DNA methylation data. From Thomp…
RT @BioDecoded: CONFINED: distinguishing biological from technical sources of variation by leveraging multiple methylation datasets | Genom…
RT @BioDecoded: CONFINED: distinguishing biological from technical sources of variation by leveraging multiple methylation datasets | Genom…
Check out Mike Thompson's paper on removing technical noise from methylation data!
CONFINED: distinguishing biological from technical sources of variation by leveraging multiple methylation datasets https://t.co/6yBYuwIFB7
RT @GenomeBiology: CONFINED: a reference-free method for separating biological from technical variation in DNA methylation data. From Thomp…
CONFINED: distinguishing biological from technical sources of variation by leveraging multiple methylation datasets https://t.co/t1AORP4VZg
RT @CompMedUCLA: Congratulations to Eran Halperin @halperineran and his lab members Mike Thompson and Elior Rahmani for their new method "C…
RT @CompMedUCLA: Congratulations to Eran Halperin @halperineran and his lab members Mike Thompson and Elior Rahmani for their new method "C…
RT @BioDecoded: CONFINED: distinguishing biological from technical sources of variation by leveraging multiple methylation datasets | Genom…
CONFINED: distinguishing biological from technical sources of variation by leveraging multiple methylation datasets https://t.co/6yBYuwIFB7
RT @BioDecoded: CONFINED: distinguishing biological from technical sources of variation by leveraging multiple methylation datasets | Genom…
CONFINED: distinguishing biological from technical sources of variation by leveraging multiple methylation datasets. https://t.co/xcNVKYAyLE
CONFINED: distinguishing biological from technical sources of variation by leveraging multiple methylation datasets | Genome Biology https://t.co/tRRo6zANAc https://t.co/MwmmvXSL1x #bioinformatics https://t.co/q5HNkcE6fi
RT @halperineran: Check out our new method, CONFINED, which is based on sparse CCA, and can be used to capture (unsupervised) the variation…
Congratulations to Eran Halperin @halperineran and his lab members Mike Thompson and Elior Rahmani for their new method "CONFINED" based on sparse CCA.
RT @halperineran: Check out our new method, CONFINED, which is based on sparse CCA, and can be used to capture (unsupervised) the variation…
RT @halperineran: Check out our new method, CONFINED, which is based on sparse CCA, and can be used to capture (unsupervised) the variation…
RT @GenomeBiology: CONFINED: a reference-free method for separating biological from technical variation in DNA methylation data. From Thomp…
RT @halperineran: Check out our new method, CONFINED, which is based on sparse CCA, and can be used to capture (unsupervised) the variation…
RT @halperineran: Check out our new method, CONFINED, which is based on sparse CCA, and can be used to capture (unsupervised) the variation…
RT @halperineran: Check out our new method, CONFINED, which is based on sparse CCA, and can be used to capture (unsupervised) the variation…
RT @halperineran: Check out our new method, CONFINED, which is based on sparse CCA, and can be used to capture (unsupervised) the variation…
RT @halperineran: Check out our new method, CONFINED, which is based on sparse CCA, and can be used to capture (unsupervised) the variation…
RT @GenomeBiology: CONFINED: a reference-free method for separating biological from technical variation in DNA methylation data. From Thomp…
RT @halperineran: Check out our new method, CONFINED, which is based on sparse CCA, and can be used to capture (unsupervised) the variation…
RT @halperineran: Check out our new method, CONFINED, which is based on sparse CCA, and can be used to capture (unsupervised) the variation…
CONFINED: distinguishing biological from technical sources of variation by leveraging multiple methylation datasets https://t.co/RTz2TvrdiT https://t.co/ajkKAgZEWb
RT @halperineran: Check out our new method, CONFINED, which is based on sparse CCA, and can be used to capture (unsupervised) the variation…
RT @halperineran: Check out our new method, CONFINED, which is based on sparse CCA, and can be used to capture (unsupervised) the variation…
RT @halperineran: Check out our new method, CONFINED, which is based on sparse CCA, and can be used to capture (unsupervised) the variation…
Check out our new method, CONFINED, which is based on sparse CCA, and can be used to capture (unsupervised) the variation explained by shared biological variation across multiple methylation studies (e.g., age, sex, or cell-type composition). https://t.co/
RT @GenomeBiology: CONFINED: a reference-free method for separating biological from technical variation in DNA methylation data. From Thomp…
RT @GenomeBiology: CONFINED: a reference-free method for separating biological from technical variation in DNA methylation data. From Thomp…
CONFINED: a reference-free method for separating biological from technical variation in DNA methylation data. From Thompson, @halperineran and co https://t.co/MOESIXX4yW https://t.co/iqfcjcHObE