{"id":1264,"date":"2018-10-08T15:10:18","date_gmt":"2018-10-08T19:10:18","guid":{"rendered":"http:\/\/mlmed.org\/w\/?p=1168"},"modified":"2019-06-19T01:11:27","modified_gmt":"2019-06-19T05:11:27","slug":"the-latent-transcriptome","status":"publish","type":"post","link":"https:\/\/josephpcohen.com\/w\/the-latent-transcriptome\/","title":{"rendered":"The Latent Transcriptome"},"content":{"rendered":"<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-1294 size-large\" src=\"http:\/\/josephpcohen.com\/w\/wp-content\/uploads\/TLT-1024x683.png\" alt=\"\" width=\"1024\" height=\"683\" srcset=\"https:\/\/josephpcohen.com\/w\/wp-content\/uploads\/TLT-1024x683.png 1024w, https:\/\/josephpcohen.com\/w\/wp-content\/uploads\/TLT-300x200.png 300w, https:\/\/josephpcohen.com\/w\/wp-content\/uploads\/TLT-768x512.png 768w, https:\/\/josephpcohen.com\/w\/wp-content\/uploads\/TLT.png 1800w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p>In this work we propose a method to compute continuous embeddings for kmers from raw RNA-seq data of the transcriptome, without the need for alignment to a reference genome. The approach uses an RNN to transforms kmers of the RNA-seq reads into a 2 dimensional representation that is used to predict abundance of each kmer. In this latent transcriptome we observe the grouping of kmers that corresponds to the genes that they are expect to belong to. More info:<br \/>\n<a href=\"https:\/\/arxiv.org\/abs\/1810.03442\" target=\"_blank\" rel=\"noopener noreferrer\">Paper<\/a> <a href=\"https:\/\/docs.google.com\/presentation\/d\/1AqdIx-scOHIu9caLGllRqe1LPQxg2Ja5gaOfbDzxyAI\/edit\" target=\"_blank\" rel=\"noopener noreferrer\">Slides<\/a><\/p>\n<p style=\"margin-left: 24pt; text-indent: -24.0pt;\">Assya Trofimov, Francis Dutil, Claude Perreault, Sebastien Lemieux, Yoshua Bengio, Joseph Paul Cohen. <i>Towards the Latent Transcriptome<\/i>. 2018, http:\/\/arxiv.org\/abs\/1810.03442.<\/p>\n","protected":false},"excerpt":{"rendered":"<div class=\"mh-excerpt\"><p>In this work we propose a method to compute continuous embeddings for kmers from raw RNA-seq data of the transcriptome, without the need for alignment <a class=\"mh-excerpt-more\" href=\"https:\/\/josephpcohen.com\/w\/the-latent-transcriptome\/\" title=\"The Latent Transcriptome\">[&#8230;]<\/a><\/p>\n<\/div>","protected":false},"author":1,"featured_media":1294,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[17,23,18,22],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.1 - 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