ROC curve

compute a ROC curve

https://github.com/dnafinder/roc

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引用格式

Giuseppe Cardillo (2026). ROC curve (https://github.com/dnafinder/roc), GitHub. 检索时间: .

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版本 已发布 发行说明 Action
2.0.0

change in Description

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1.33.0

minor code improvements

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1.32.0

bug fixed in output table

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1.31.0

some little editing for verbose flag management

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1.30.0

The curves Fitting was enhanced.
L5P is no more needed.

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1.29.0

new plots and outputs

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1.27.0

change in description.
Cut-off points and AUC confidence interval are now always computed to avoid nargout error

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1.26.0

running roc without arguments, it will run a demo

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1.25.0

I added the possibility to choose if you want to use all unique values or 3<=N<all unique values as tresholds

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1.24.0

Previously I uploaded an old version of roc.m This is the last version

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1.23.0

Bug fixing in Cut off grabbing

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1.22.0

Trapz correction

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1.20.0

another little bug correction to include the points (0,0) and (1,1)

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1.19.0

ROC requires another function of mine: partest. If it is not present on the computer, ROC will download it from FEX

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1.18.0

The function is deeper commented

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1.17.0

Changes in description

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1.16.0

bug fixing in area computation after adding the points (0,0) and (1,1) as previously suggested

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1.15.0

I modified the files according to Jens Kaftan suggestion

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1.14.0

correction in ROC performance bounds

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1.13.0

advancedmcode link added in description section

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1.12.0

In my previous submission I forgot to add the demo...

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1.11.0

improved compatibility with URocomp

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1.10.0

According to cabrego comment, in the function output the table of cutoff points, sensibility and specificity.

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1.9.0

New plot output

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1.8.0

bug correction

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1.7.0

Changes to make it compatible with uroccomp function

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1.6.0

Mistake correction in z test computation

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1.5.0

if mean(healthy)>mean(unhealthy) the function mirrors the curve to obtain the correct ROC curve.

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1.4.0

Input error handling added

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1.3.0

Test on significance of AUC added

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1.2.0

Changes in help section

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1.0.0

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要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 存储库。
要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 存储库。