Common Contracts
3 similar Computing and Plotting Agreement Among Ranked Vectors of Features contracts
Computing and plotting agreement among ranked vectors of features with matchBox.Computing and Plotting Agreement Among Ranked Vectors of Features • May 1st, 2024
The matchBox package allows to compare ranked vectors (i.e. by differential expression) of features (i.e. genes, or probe sets), using Correspondence-At-the-Top (CAT) curves. A CAT curve displays the overlapping proportion between two ranked vectors of identifiers against the number of considered features. This techiques was originally envisaged for comparing differential gene expression results obtained from distinct microarray platforms in different laboratories (see Irizarry et al, Nat Methods (2005) [1]), and further used to compare differential gene expression across distinct studies (see Ross et al, Prostate (2011) [2], and Benassi et al., Cancer Discovery (2012) [3]).
Computing and plotting agreement among ranked vectors of features with matchBox.Computing and Plotting Agreement Among Ranked Vectors of Features • November 1st, 2022
The matchBox package allows to compare ranked vectors (i.e. by differential expression) of features (i.e. genes, or probe sets), using Correspondence-At-the-Top (CAT) curves. A CAT curve displays the overlapping proportion between two ranked vectors of identifiers against the number of considered features. This techiques was originally envisaged for comparing differential gene expression results obtained from distinct microarray platforms in different laboratories (see Irizarry et al, Nat Methods (2005) [1]), and further used to compare differential gene expression across distinct studies (see Ross et al, Prostate (2011) [2], and Benassi et al., Cancer Discovery (2012) [3]).
Computing and plotting agreement among ranked vectors of features with matchBox.Computing and Plotting Agreement Among Ranked Vectors of Features • April 26th, 2022
The matchBox package allows to compare ranked vectors (i.e. by differential expression) of features (i.e. genes, or probe sets), using Correspondence-At-the-Top (CAT) curves. A CAT curve displays the overlapping proportion between two ranked vectors of identifiers against the number of considered features. This techiques was originally envisaged for comparing differential gene expression results obtained from distinct microarray platforms in different laboratories (see Irizarry et al, Nat Methods (2005) [1]), and further used to compare differential gene expression across distinct studies (see Ross et al, Prostate (2011) [2], and Benassi et al., Cancer Discovery (2012) [3]).
