Evidence map›Paper›PMID 41332719›Full record

ArticlebioRxiv : the preprint server for biology2025

Selector: A General Python Library for Diverse Subset Selection.

Fanwang Meng, Marco Martínez González, Valerii Chuiko, Alireza Tehrani, Abdul Rahman Al Nabulsi, Abigail Broscius, Hasan Khaleel, Kenneth López-Pérez, Ramón Alain Miranda-Quintana, Paul W Ayers and 1 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Fanwang MengDepartment of Chemistry, Queen's University, 90 Bader Lane, Kingston, Ontario, Canada, K7L 3N6.ORCID 0000-0003-2886-7012
Marco Martínez GonzálezDepartment of Chemistry and Chemical Biology, McMaster University, 1280 Main Street West, Hamilton, Ontario, Canada, L8S 4L8.
Valerii ChuikoDepartment of Chemistry and Chemical Biology, McMaster University, 1280 Main Street West, Hamilton, Ontario, Canada, L8S 4L8.ORCID 0009-0005-9360-2485
Alireza TehraniDepartment of Chemistry, Queen's University, 90 Bader Lane, Kingston, Ontario, Canada, K7L 3N6.
Abdul Rahman Al NabulsiDepartment of Chemistry and Chemical Biology, McMaster University, 1280 Main Street West, Hamilton, Ontario, Canada, L8S 4L8.
Abigail BrosciusDepartment of Chemistry, Queen's University, 90 Bader Lane, Kingston, Ontario, Canada, K7L 3N6.
Hasan KhaleelDepartment of Chemistry and Chemical Biology, McMaster University, 1280 Main Street West, Hamilton, Ontario, Canada, L8S 4L8.
Kenneth López-PérezDepartment of Chemistry and Quantum Theory Project, University of Florida, Gainesville, Florida, USA, 32603.ORCID 0000-0002-4401-0089
Ramón Alain Miranda-QuintanaDepartment of Chemistry and Quantum Theory Project, University of Florida, Gainesville, Florida, USA, 32603.ORCID 0000-0003-2121-4449
Paul W AyersDepartment of Chemistry and Chemical Biology, McMaster University, 1280 Main Street West, Hamilton, Ontario, Canada, L8S 4L8.ORCID 0000-0003-2605-3883
Farnaz Heidar-ZadehDepartment of Chemistry, Queen's University, 90 Bader Lane, Kingston, Ontario, Canada, K7L 3N6.ORCID 0000-0002-2069-050X

Funding

Tackling Big Data problems in biomedical sciences with extended similarity methodsR35GM150620 · NIGMS · UNIVERSITY OF FLORIDA · PI Ramon Alain Miranda Quintana · 2023 to 2026
$1.4M
NIGMS NIH HHS R35 GM150620
6 · The paper itself

Abstract

Selector is a free, open-source Python library for selecting diverse subsets from any dataset, making it a versatile tool across a wide range of application domains. Selector implements different subset sampling algorithms based on sample distance, similarity, and spatial partitioning, along with metrics to quantify subset diversity. It is flexible and integrates seamlessly with popular Python libraries like Scikit-Learn, demonstrating the interoperability of the implemented algorithms with data analysis workflows. Selector is an operating-system agnostic, accessible, and easily extensible package designed with modern software development practices, including version control, unit testing, and continuous integration. Interactive quick-start notebooks, which are also web-accessible, provide user-friendly tutorials for all skill levels, showcasing applications in computational chemistry, drug discovery, and chemical library design. Additionally, a web interface has been developed that allows users to easily upload datasets, configure sampling settings, and run subset selection algorithms, with no programming required. This paper serves as the official release note for the Selector package, offering a technical overview of its features, use cases, and development practices that ensure its quality and maintainability.

Identifiers

PMID41332719
PMCPMC12667815

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.