Classifiers Performance. The document contains information on the ensemble learning approach with regards to the performance of each classifier. (PDF 1280 kb
Power and sample size. A description of the methods used for the calculation of power and sample siz...
Tool accuracy per taxon. Each file is categorized by taxonomic level. Inside each file, the first sh...
Figure S3. Comparison of community classifications from each reconciliation method with intrinsic br...
Refined subtype labels and intrinsic probes. The refined breast cancer subtype labels defined for ea...
BACKGROUND: Multi-gene lists and single sample predictor models have been currently used to reduce t...
Supplementary materials and methods. Detailed description of all the data generated during the study...
Figure S6. Building TNBC subtyping classifier in METABRIC using common genes from TNBC signature gro...
Comprehensive survey of ensemble ML, consensus filtering strategies and individual variant caller re...
Evaluation of individual and combined variant callers on S1 experiment. Exhaustive evaluation of the...
The prediction of breast cancer intrinsic subtypes has been introduced as a valuable strategy to det...
Table S1. Number of patients for breast cancer subtype in the TCGA dataset according to IHC status. ...
Additional file 1: Table 1. Intrinsic subtype defined at primary diagnosis or re-biopsy
<div><p>Background</p><p>The prediction of breast cancer intrinsic subtypes has been introduced as a...
Tumor, lymph node, metastasis (TNM) classification for defining subgroups of patients with locally a...
Figure S2. t-SNE plots showing subtype clustering of Luminal A cases in the TCGA cohort according to...
Power and sample size. A description of the methods used for the calculation of power and sample siz...
Tool accuracy per taxon. Each file is categorized by taxonomic level. Inside each file, the first sh...
Figure S3. Comparison of community classifications from each reconciliation method with intrinsic br...
Refined subtype labels and intrinsic probes. The refined breast cancer subtype labels defined for ea...
BACKGROUND: Multi-gene lists and single sample predictor models have been currently used to reduce t...
Supplementary materials and methods. Detailed description of all the data generated during the study...
Figure S6. Building TNBC subtyping classifier in METABRIC using common genes from TNBC signature gro...
Comprehensive survey of ensemble ML, consensus filtering strategies and individual variant caller re...
Evaluation of individual and combined variant callers on S1 experiment. Exhaustive evaluation of the...
The prediction of breast cancer intrinsic subtypes has been introduced as a valuable strategy to det...
Table S1. Number of patients for breast cancer subtype in the TCGA dataset according to IHC status. ...
Additional file 1: Table 1. Intrinsic subtype defined at primary diagnosis or re-biopsy
<div><p>Background</p><p>The prediction of breast cancer intrinsic subtypes has been introduced as a...
Tumor, lymph node, metastasis (TNM) classification for defining subgroups of patients with locally a...
Figure S2. t-SNE plots showing subtype clustering of Luminal A cases in the TCGA cohort according to...
Power and sample size. A description of the methods used for the calculation of power and sample siz...
Tool accuracy per taxon. Each file is categorized by taxonomic level. Inside each file, the first sh...
Figure S3. Comparison of community classifications from each reconciliation method with intrinsic br...
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