Introduction to Cancer Transcriptomes
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Three case studies demonstrate how users of our system can compare latent space variants in image generation, challenge existing findings on cancer transcriptomes, and assess a word embedding benchmark.
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A subset of these genes were highly expressed in the ovarian cancer among the cancer transcriptomes of The Cancer Genome Atlas.
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With this complimentary transcriptome data, we demonstrate how recent innovations in the PacBio Iso-Seq method sample preparation and sequencing chemistry have made long-read sequencing of cancer transcriptomes more practical.
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BackgroundAccurate fusion transcript detection is essential for comprehensive characterization of cancer transcriptomes.
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