“Most Lives Make No Sense”: Interro(r)gating the Postmodern Subject in 9/11 Fiction

Finck, Shannon

doi:10.1080/10436928.2015.996275

Cited by 2 publications

(1 citation statement)

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“…These tools can interchange gating details as they both read and write Gating-ML 2.0 compatible files. A free open source Gating-ML 2.0 reader is available in MATLAB from MATLAB CENTRAL [10]. GenePattern module ApplyGatingML2 [11] can also read Gating-ML 2.0 files and apply these on FCS data in order to extract all cell populations defined in the Gating-ML file.…”

Section: Resultsmentioning

confidence: 99%

ISAC's Gating‐ML 2.0 data exchange standard for gating description

et al. 2015

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The lack of software interoperability with respect to gating has traditionally been a bottleneck preventing the use of multiple analytical tools and reproducibility of flow cytometry data analysis by independent parties. To address this issue, ISAC developed Gating-ML, a computer file format to encode and interchange gates. Gating-ML 1.5 was adopted and published as an ISAC Candidate Recommendation in 2008. Feedback during the probationary period from implementors, including major commercial software companies, instrument vendors and the wider community, has led to a streamlined Gating-ML 2.0. Gating-ML has been significantly simplified and therefore easier to support by software tools. To aid developers, free, open source reference implementations, compliance tests and detailed examples are provided to stimulate further commercial adoption. ISAC has approved Gating-ML as a standard ready for deployment in the public domain and encourages its support within the community as it is at a mature stage of development having undergone extensive review and testing, under both theoretical and practical conditions.

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Section: Resultsmentioning

confidence: 99%