ArticleBioinformatics (Oxford, England)2016
PyPanda: a Python package for gene regulatory network reconstruction.
Article in Bioinformatics (Oxford, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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.
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Who cites it
7 citing papers in PubMed.
- 96 sample parallel acoustic fragmentation for high throughput next generation sequencing library preparation.PloS one · 2026Article
- SPONGE: simple prior omics network GEnerator.Bioinformatics (Oxford, England) · 2025Article
- A machine learning-based prediction model for postoperative delirium in cardiac valve surgery using electronic health records.BMC cardiovascular disorders · 2024Article
- Prospects of Novel and Repurposed Immunomodulatory Drugs against Acute Respiratory Distress Syndrome (ARDS) Associated with COVID-19 Disease.Journal of personalized medicine · 2023Review
- The Network Zoo: a multilingual package for the inference and analysis of gene regulatory networks.Genome biology · 2023Article
- Regulatory Network of PD1 Signaling Is Associated with Prognosis in Glioblastoma Multiforme.Cancer research · 2021Article
- lionessR: single sample network inference in R.BMC cancer · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
PANDA (Passing Attributes between Networks for Data Assimilation) is a gene regulatory network inference method that uses message-passing to integrate multiple sources of 'omics data. PANDA was originally coded in C ++. In this application note we describe PyPanda, the Python version of PANDA. PyPanda runs considerably faster than the C ++ version and includes additional features for network analysis. AVAILABILITY AND IMPLEMENTATION: The open source PyPanda Python package is freely available at http://github.com/davidvi/pypanda CONTACT: mkuijjer@jimmy.harvard.edu or d.g.p.van_ijzendoorn@lumc.nl.
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Registered trials
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.