The Influence of Feature Selection Methods on Accuracy, Stability and Interpretability of Molecular Signatures is a research paper published in PLoS ONE (2011). On theSindex it has a DataRank of 14.2. It has been cited 386 times, with 200 citing works in its 1-hop citation network.
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Base Score Contribution
0.894
From this paper's citation signal
Citation Network Contribution
13.3
From 200 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 200 citers.
European Commission FP7
Grant: FP7_246513
European Commission
Grant: 246513
Nanosystems for the early Diagnosis of Neurodegenerative diseases
French National Research Agency (ANR)
Grant: ANR-09-BLAN-0051
FWCI
8.39
Citation Percentile
1.0%
Influential Citations
22
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of Benchmark study of feature selection strategies for multi-omics data
Additional file 1 of Benchmark study of feature selection strategies for multi-omics data
Additional file 1 of Performance and clinical utility of a new supervised machine-learning pipeline in detecting rare ciliopathy patients based on deep phenotyping from electronic health records and semantic similarity
Additional file 1 of Performance and clinical utility of a new supervised machine-learning pipeline in detecting rare ciliopathy patients based on deep phenotyping from electronic health records and semantic similarity
The influence of feature selection methods on accuracy, stability and interpretability of molecular signatures