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An Introduction to Transcriptomics

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If you have a question about this talk, please contact Zoubin Ghahramani.

Machine Learning Tutorial Lecture

Whereas the genome encapsulates information that is passed from parent to child, the transcriptome is a library of RNA sequences (eg, messenger RNAs) that emerge from the genome as a consequence of ubiquitous condition-dependent transcription and splicing in the cell nucleus. The human genome contains roughly 22,000 genes, but the human transcriptome may contain as many as 1 million or more RNA sequences. Understanding this library of RNA sequences and the mechanisms controlling the condition-dependent generation of RNA sequences is a central problem in modern biomolecular science and engineering. In this tutorial, I’ll review what is and is not known about the transcriptome and its regulation, discuss open problems that could be approached using machine learning, and describe recently-published datasets that could be used to solve those problems.

This talk is part of the Machine Learning @ CUED series.

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