Publications by Anna Konstorum (
taskSelectionAim
suppressPackageStartupMessages({ library(kableExtra) library(data.table) library(ggplot2) library(tidyverse) library(readr) library(here) library(matrixStats) library(here) library(kableExtra) library("readxl") source(here("./src/codebase_transform.R")) }) Load Data list.files(here("./data")) ## [1] "~$2021.2022.Flu...
126 sym R (21962 sym/93 pcs)
aim_normalized_sqrtTransformed
Load Libraries suppressPackageStartupMessages({ library(kableExtra) library(data.table) library(ggplot2) library(tidyverse) library(readr) library(here) library(matrixStats) library(here) library(kableExtra) library("readxl") source(here("./src/codebase_transform.R")) }) dist_histogram <- function(df, col, title, adj=...
69 sym R (20648 sym/25 pcs) 52 img 2 tbl
AIM-preprocessing_log transformed
Load Libraries suppressPackageStartupMessages({ library(kableExtra) library(data.table) library(ggplot2) library(tidyverse) library(readr) library(here) library(matrixStats) library(here) library(kableExtra) library("readxl") source(here("./src/codebase_transform.R")) }) dist_histogram <- function(df, col, title, adj=...
69 sym R (20620 sym/25 pcs) 52 img 2 tbl
NormalizedBatch corrected Fluorospot
Load Libraries suppressPackageStartupMessages({ library(kableExtra) library(data.table) library(ggplot2) library(tidyverse) library(readr) library(here) library(matrixStats) library(here) library(kableExtra) library("readxl") source(here("./src/codebase_transform.R")) }) dist_histogram <- function(df, col, title, adj=...
69 sym R (23673 sym/25 pcs) 66 img 2 tbl
Fluorospot assay batch correction
Load Libraries suppressPackageStartupMessages({ library(kableExtra) library(data.table) library(ggplot2) library(tidyverse) library(readr) library(here) library(matrixStats) library(here) library(kableExtra) library("readxl") source(here("./src/codebase_transform.R")) }) dist_histogram <- function(df, col, title, adj=...
88 sym R (21974 sym/36 pcs) 65 img 1 tbl
Negative value and distribution study
Load Libraries suppressPackageStartupMessages({ library(kableExtra) library(data.table) library(ggplot2) library(tidyverse) library(readr) library(here) library(matrixStats) library(here) library(kableExtra) # source(here("./src/codebase.R")) }) Load Data list.files(here("./data")) ## [1] "2021.2022.AIM.column.variabl...
91 sym R (14931 sym/45 pcs) 10 img 4 tbl
processed2
The training dataset for the second challenge comprises two multi-omics datasets (designated as 2020 and 2021) that require processing and normalization to generate computable matrices suitable for subsequent model development. While the procedures for data processing and normalization are inherently user-specific, the CMI-PB team has devised a dat...
1706 sym R (16295 sym/57 pcs) 46 img
processed and transformed2
The training dataset for the second challenge comprises two multi-omics datasets (designated as 2022 and 2021) that require processing and normalization to generate computable matrices suitable for subsequent model development. While the procedures for data processing and normalization are inherently user-specific, the CMI-PB team has devised a dat...
1713 sym R (19324 sym/63 pcs) 50 img
preprocessing_notTransformed
The training dataset for the second challenge comprises two multi-omics datasets (designated as 2022 and 2021) that require processing and normalization to generate computable matrices suitable for subsequent model development. While the procedures for data processing and normalization are inherently user-specific, the CMI-PB team has devised a dat...
1707 sym R (16872 sym/58 pcs) 46 img
preprocessed_transformed
The training dataset for the second challenge comprises two multi-omics datasets (designated as 2022 and 2021) that require processing and normalization to generate computable matrices suitable for subsequent model development. While the procedures for data processing and normalization are inherently user-specific, the CMI-PB team has devised a dat...
1707 sym R (17147 sym/58 pcs) 46 img