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Towards future directions in data-integrative supervised prediction of human aging-related genes

<p><strong>Corresponding author:</strong>&nbsp;<a href="http://www.nd.edu/~tmilenko">Prof. Tijana Milenković</a>,&nbsp;tmilenko AT nd DOT edu.</p> <p><strong>Detailed descriptions of the data and program</strong>: check&nbsp;<a href="https://nd.edu/~cone/DirectionsAging/">our paper&#39;s website</a>.</p> <p><strong>Reference</strong>:&nbsp;Qi Li, Khalique Newaz, and Tijana Milenković (2022).&nbsp;<strong>Towards future directions in data-integrative supervised prediction of human aging-related genes.</strong><em>&nbsp;under review</em></p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4