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Table 1 Description of each baseline method included in the benchmark

From: DECONbench: a benchmarking platform dedicated to deconvolution methods for tumor heterogeneity quantification

Name

RNA_wICA

RNA_wNMF

DNAm_EDec

DNAm_MeDeCom

DNAm_wICA

both_wICA

both_wNMFMeDeCom

both_meanwNMFMeDeCom

Acronym

r_WIC

r_WNM

m_EDC

m_MDC

m_WIC

b_WIC

b_COM

b_MEA

Data type

RNA

RNA

DNAm

DNAm

DNAm

both

both

both

Feature Selection DNAm

/

/

5.000 most variable probes

5.000 most variable probes

5.000 most variable probes

5.000 most variable probes

5.000 most variable probes

5.000 most variable probes

Feature Selection RNA

ICA, selection of top-contributing genes and filtering of duplicated genes

ICA, selection of top-contributing genes

/

/

/

/

ICA, selection of top-contributing genes

ICA, selection of top-contributing genes

Deconvolution algorithm DNAm

/

/

Edec

MeDeCom

ICA weighted by top-contributing probes

ICA weighted by top-contributing probes

MeDeCom with the A matrix computed on RNA as startA parameter

MeDeCom

Deconvolution algorithm RNA

ICA weighted by top-contributing genes

NMF with snmf/r method

/

/

/

ICA weighted by top-contributing genes

NMF with snmf/r method

NMF with snmf/r method

Multi-omic integration strategy

/

/

/

/

/

Averaged DNAm and RNAm proportion matrix

DNAm deconvolution uses RNA deconvolution as input

Averaged DNAm and RNAm proportion matrix

Time 10 A

~ 10 min

~ 20 min

~ 3 h

~ 17 h

~ 10 min

~ 10 min

~ 17 h

~ 17 h 30 min

Time 1 A

~ 1 min

~ 2 min

~ 20 min

~ 1 h 40

~ 1 min

~ 1 min

~ 1 h 40 min

~ 1 h 45 min

Reference of the tools/algorithms used

Hyvarinen [25]

Frichot et al. [26]

Onuchic et al. [9]

Lutsik et al. [8]

Hyvarinen [25]

Hyvarinen [25]

Lutsik et al. [8] and Frichot et al. [26]

Lutsik et al. [8] and Frichot et al. [26]

  1. A baseline method is composed of two steps: [1] feature selection and [2] deconvolution algorithm. All deconvolution algorithms used as baseline are already published and documented in the literature (see Reference of the tools/algorithms used). A detailed description of the coding instruction and a mathematical description of the algorithms can be found in the "Methods" section. Source code is publicly available on the DECONbench platform. Time 10 A corresponds to the approximated computation time to estimate 10 proportion matrices A (corresponding to the test sets hidden on the platform). Time 1 A corresponds to the approximated computation time to estimate 1 proportion matrix A (closer to real applications on one dataset)
  2. Bold acrononyms are used to identify methods in Figs. 3 and 4