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Cutoff Finder specifications


Unique identifier OMICS_28251
Name Cutoff Finder
Interface Web user interface
Restrictions to use None
Input data A file containing biomarker, outcome and survival data.
Input format TXT
Computer skills Basic
Stability Stable
Maintained Yes



  • person_outline Jan Budczies

Publication for Cutoff Finder

Cutoff Finder citations


Molecular and clinical characterization of PTPN2 expression from RNA seq data of 996 brain gliomas

PMCID: 5953404
PMID: 29764444
DOI: 10.1186/s12974-018-1187-4
call_split See protocol

[…] he correlation between PTPN2 expression and different inflammatory cell types was examined by canonical correlation using the SPSS 22.0 software. When investigating the prognostic value of PTPN2, the Cutoff Finder was used to determine the optimal cutoff point of PTPN2 transcript level []. Besides, log-rank and Cox regression analysis were applied to investigate the prognostic value of PTPN2 using […]


Prognostic value of total number of lymph nodes retrieved differs between left sided colon cancer and right sided colon cancer in stage III patients with colon cancer

BMC Cancer
PMCID: 5948673
PMID: 29751794
DOI: 10.1186/s12885-018-4431-5
call_split See protocol

[…] l difference between the different total number of lymph nodes and lymph nodes ratio subgroups. The optimal cutoff level for total number of lymph nodes was determined using the web-based application Cutoff Finder ( []. The data are presented in a triangular grid and each point represents a cut off value. The strength of the association of e […]


Abnormal pulmonary function tests predict the development of radiation induced pneumonitis in advanced non small cell lung Cancer

PMCID: 5937833
PMID: 29690880
DOI: 10.1186/s12931-018-0775-2

[…] sher’s exact test was performed for categorical variables, and the Wilcoxon signed-rank test was used to analyze the changes in PFT continual variables. Cutoff points for PFTs were obtained using the Cutoff Finder version 2.1 [] A value of p ≤ 0.05 was considered statistically significant. Statistical tests were performed using STATA software ver. 12 (StataCorp, Lakeway Drive College Station, Texa […]


Antimony susceptibility of Leishmania isolates collected over a 30 year period in Algeria

PLoS Negl Trop Dis
PMCID: 5889277
PMID: 29561842
DOI: 10.1371/journal.pntd.0006310

[…] 05 were considered significant.Cutoff determination: The cutoff defining sensitive (S+) and non sensitive (S-) promastigotes populations for Sb(III) was determined with the help of a web application: cutoff finder analysis using R version 2.15.0 (2012-03-30) ( []. The cutoff for Sb(V) susceptibility was directly obtained by interpolation of the Sb(III)cutoff value […]


Lymphocyte to Monocyte Ratio and Modified Glasgow Prognostic Score Predict Prognosis of Lung Adenocarcinoma Without Driver Mutation

PMCID: 5862078
PMID: 29581811
DOI: 10.14740/wjon1084w

[…] les, respectively. Spearman’s rank-order was used to test correlation between non-parametric data of NLR and LMR. The optimal cutoff values of NLR and LMR were determined using a Bio-statistical tool Cutoff Finder, a web-based R software ( []. We divided our patients into two groups according to NLR, LMR and mGPS. Kaplan-Meier method and log-rank test were adopted […]


Identification of a microRNA signature associated with survivability in cervical squamous cell carcinoma

PLoS One
PMCID: 5841789
PMID: 29513728
DOI: 10.1371/journal.pone.0193625

[…] low risk patients were then compared in the Training cohort and Validation cohort using the log-rank test. Kaplan-Meier curves were used to plot overall survival with miRNA signature expression using Cutoff Finder ( In addition, the receiver operating characteristic (ROC) analyses were performed to assess the 5 years’ survival rate of miRNA signature of CSCC by us […]


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Cutoff Finder institution(s)
Institut fur Pathologie, Charite - Universitatsmedizin Berlin, Berlin, Germany; Research Laboratory of Pediatrics and Nephrology, Hungarian Academy of Sciences, Budapest, Hungary
Cutoff Finder funding source(s)
Supported by the European Commission within FP7, grants #200327 (METAcancer) and #257669 (ARROWS), and by OTKA, (Orszagos Tudomanyos Kutatasi Alap Hungarian National Scientific Research Fund) PD 83154.

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