File:Wrangling-Phosphoproteomic-Data-to-Elucidate-Cancer-Signaling-Pathways-pone.0052884.s011.ogv

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Original file (Ogg Theora video file, length 34 s, 902 × 720 pixels, 4.19 Mbps, file size: 17.03 MB)

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English: SED dissimilarity embedded in three dimensions using t-SNE graphed as in Movie S1. 49 groups of proteins (identified by different colors) were selected using a minimum spanning tree method [63], which finds groups that can be connected by a single linkage, filtered by low percent NA in the primary data. The start of the movie shows all proteins not in these groups (green); these were filtered out for the final scenes.
Date
Source Movie S2 from Grimes M, Lee W, van der Maaten L, Shannon P (2013). "Wrangling Phosphoproteomic Data to Elucidate Cancer Signaling Pathways". PLOS ONE. DOI:10.1371/journal.pone.0052884. PMID 23300999. PMC: 3536783.
Author Grimes M, Lee W, van der Maaten L, Shannon P
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This file was published in a Public Library of Science journal. Their website states that the content of all PLOS journals is published under the Creative Commons Attribution 4.0 license (or its previous version depending on the publication date), unless indicated otherwise.
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This file was transferred to Wikimedia Commons from PubMed Central by way of the Open Access Media Importer.
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current15:55, 12 January 201334 s, 902 × 720 (17.03 MB)Open Access Media Importer Bot (talk | contribs)Automatically uploaded media file from Open Access source. Please report problems or suggestions here.

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Format Bitrate Download Status Encode time
VP9 720P 2.01 Mbps Completed 16:39, 28 October 2018 1 min 19 s
VP9 480P 838 kbps Completed 16:38, 28 October 2018 47 s
VP9 360P 537 kbps Completed 16:38, 28 October 2018 43 s
VP9 240P 275 kbps Completed 16:38, 28 October 2018 33 s
WebM 360P 504 kbps Completed 16:28, 12 January 2013 37 s
QuickTime 144p (MJPEG) Not ready Unknown status

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