Branch: an interactive, web-based tool for testing hypotheses and developing predictive models.

Karthik Gangavarapu, Vyshakh Babji, Tobias Meißner, Andrew I Su, Benjamin M Good

Abstract read

In one paragraph

Article in Bioinformatics (Oxford, England), 2016. 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Karthik GangavarapuDepartment of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA.

Vyshakh BabjiDepartment of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA.

Tobias MeißnerDepartment of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA.

Andrew I SuDepartment of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA.

Benjamin M GoodDepartment of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA.

Funding

Scripps Translational Science InstituteUL1TR001114 · NCATS · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2013 to 2017

$24.0M

NCATS NIH HHS UL1 TR001114

6 · The paper itself

Abstract

unlabelledBranch is a web application that provides users with the ability to interact directly with large biomedical datasets. The interaction is mediated through a collaborative graphical user interface for building and evaluating decision trees. These trees can be used to compose and test sophisticated hypotheses and to develop predictive models. Decision trees are built and evaluated based on a library of imported datasets and can be stored in a collective area for sharing and re-use. AVAILABILITY AND IMPLEMENTATION: Branch is hosted at http://biobranch.org/ and the open source code is available at http://bitbucket.org/sulab/biobranch/ CONTACTS: asu@scripps.edu or bgood@scripps.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Biomedical ResearchDecision TreesSoftwareDatasets as TopicHumansInternetModels, Theoretical

Identifiers

PMID27153723

DOI10.1093/bioinformatics/btw117

PMCPMC4920125

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.