Computing and plotting agreement among ranked vectors of features with matchBox.Computing and Plotting Agreement Among Ranked Vectors of Features • May 19th, 2021
Contract Type FiledMay 19th, 2021The 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 differ- ential 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 • October 27th, 2020
Contract Type FiledOctober 27th, 2020The 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 differ- ential 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 • October 27th, 2020
Contract Type FiledOctober 27th, 2020The 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 differ- ential 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 27th, 2020
Contract Type FiledApril 27th, 2020The 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 differ- ential 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 • October 29th, 2019
Contract Type FiledOctober 29th, 2019The 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 differ- ential 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 • May 2nd, 2019
Contract Type FiledMay 2nd, 2019The 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 differ- ential 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 • October 30th, 2018
Contract Type FiledOctober 30th, 2018The 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 differ- ential 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 30th, 2018
Contract Type FiledApril 30th, 2018The 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 differ- ential 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 • October 30th, 2017
Contract Type FiledOctober 30th, 2017The 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 differ- ential 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 24th, 2017
Contract Type FiledApril 24th, 2017The 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 differ- ential 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 • October 17th, 2016
Contract Type FiledOctober 17th, 2016The 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 differ- ential 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 • October 13th, 2015
Contract Type FiledOctober 13th, 2015The 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 differ- ential 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 • October 13th, 2014
Contract Type FiledOctober 13th, 2014The 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 differ- ential 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 3rd, 2013
Contract Type FiledApril 3rd, 2013The 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 differ- ential gene expression across distinct studies (see Ross et al, Prostate (2011) [2], and Benassi et al., Cancer Discovery (2012) [3]).