Upload
Predicted IC50
AML subtype of the individual
Clinical information of the individual
Predicted AUC
Summary of predictions
Feature importance for each individual drug
What are the requirements of the input?
- All uploaded files are formatted as CSVs.
- Gene expressions need to be raw counts.
- We use hg19 for the annotation.
- Gene expressions [
n genes X m individuals
]:- The size of input is
(n+1) rows x (m+1) columns
, which including the header as a first row and gene names as a first column. - The header [
length: m + 1
] containsgene
following bym
individual IDs. n
following rows: each row containsENSEMBL
gene name and gene expression ofm
individuals.
- The size of input is
- Mutations [
k mutations
]:- The size of input is
(k+1) rows x 2 columns
, which including the header as a first row. - The input has two columns including
ID
andGENE
. - All mutation ids need to be exist in the individual IDs of gene expressions.
- Gene names are formatted as HUGO symbol.
- The size of input is
- Fusions: Same requirements like for mutations.
How can I check the format of input?
Answer: You can download a toy dataset from here. It contains gene expressions of 5 patients from TCGA.
What does “Confidence score” mean?
Answer: Confidence score (CS) is a measurement for how likely “good” IC50 response predictions (IC50 < 1
) are
confident. CS ranges from 0 to 1. Our recommendation is that the lower threshold of CS should be 0.8
How can I understand some information of an individual?
Answer:
-
Subtype prediction
: We built a computational model to predict AML subtype for each individual. There are 11 specific subtypes which are collected from Mou et. al -
High confident drugs
: Based on the CS threshold you choose, this table give you the brief description of confident drugs. -
Active pathways
: Pathway activation score (PAS) > 0. PAS is defined as a tumor-specific pathway activity level that is relevant to a specific drug. It is calculated based on the connection between the drug-specific target gene(s) and the tumor-specific mRNA expression level of the genes in the pathway.