Class assignment specifications


Unique identifier OMICS_26979
Name Class assignment
Interface Web user interface
Restrictions to use None
Input data A matrix.
Input format TSV,(ZIP+CEL)
Output data A report file containing multiple evaluation statistics.
Computer skills Basic
Stability Stable
Maintained Yes


  • person_outline Enrico Glaab
  • person_outline Natalio Krasnogor
  • person_outline Jonathan Garibaldi

Publication for Class assignment

Class assignment citations


Systematic assessment of cervical cancer initiation and progression uncovers genetic panels for deep learning based early diagnosis and proposes novel diagnostic and prognostic biomarkers

PMCID: 5752532
PMID: 29312619
DOI: 10.18632/oncotarget.22689

[…] of the fine-tuned models with the optimal hyperparameters were then measured on the test sets. The cut-off of the classification was the corresponding value that optimize F1-score at default.Ensemble class assignment analyses on the corresponding data sets of the whole transcriptome information were conducted using ArrayMining online software []. In brief, the data set was introduced to the Class […]


Using Rule Based Machine Learning for Candidate Disease Gene Prioritization and Sample Classification of Cancer Gene Expression Data

PLoS One
PMCID: 3394775
PMID: 22808075
DOI: 10.1371/journal.pone.0039932
call_split See protocol

[…] on potential functional associations between genes; value range rules, which highlight the preferential up- or down-regulation of genes under different biological conditions and the robustness for a class assignment in terms of the relative width or narrowness of an expression value range; and default rules, which apply if none of the previous specific rules is matched. Each time a new decision r […]

Class assignment institution(s)
School of Computer Science, Nottingham University, Nottingham, UK
Class assignment funding source(s)
Supported by the Marie-Curie Early-Stage-Training programme (grant MEST-CT-2004-007597), by the UK Engineering and Physical Sciences Research Council (EP/E017215/1) and the Biotechnology and Biological Sciences Research Council (BB/F01855X/1).

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