cohorts: A Python package for clinical ‘omics data management

preprint OA: closed CC-BY-NC-ND-4.0
📄 Open PDF View at publisher

Abstract

Summary Precision medicine uses patient clinical and molecular characteristics to personalize diagnosis and treatment. This emerging discipline integrates multi-modal data into large-scale studies of human disease to make accurate individual-level predictions. The success of these studies will depend on the generalizability of the results, the ability of other researchers and clinicians to replicate studies, and the understandability of the methods used. Tools for data management and standardization are needed to promote flexible, transparent, and reproducible analyses. Here we present cohorts, a python package facilitating clinical and biomarker data management to enhance standardization and reproducibility of clinical findings. Availability The python package cohorts is available at http://www.github.com/ngiangre/cohorts . CONTACT [email protected]

My notes (saved in your browser only)

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.

Source provenance

europepmc
last seen: 2026-05-19T01:45:01.086888+00:00
unpaywall
last seen: 2026-05-24T02:00:01.246996+00:00
License: CC-BY-NC-ND-4.0