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Deep Learning for Gene Expression - Gracelyn Shi - at #AIGeeks

Using Deep Learning to Unlock the Secrets of Gene Expression

Artificial intelligence has the power to unlock the secrets of gene expression.

Gracelyn will talk about how deep learning can be used to analyze genetic data, specifically for predicting transcription factor-DNA binding.

She will also talk about the implications of using deep learning to extract meaningful conclusions from genetic data and what it will mean for the future of the genomics industry.

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Gracelyn Shi is a 15-year-old machine learning developer and genomics researcher.

She is interested in the intersection of technology and biology, especially artificial intelligence and genetics.

She has developed machine learning projects related to machine learning detection, fluorescently tagging cells, and predicting transcription factor-DNA binding.

She has worked with companies such as Walmart and Wealthsimple on consulting projects.

She is an Junior Strategist on the Enterprise Analytics team at CIBC Digital, The Knowledge Society (TKS) innovator, and a content writer for "Towards Data Science" on topics such as bioinformatics, image classification, and convolutional neural networs.

Видео Deep Learning for Gene Expression - Gracelyn Shi - at #AIGeeks канала SoftGeeks
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Информация о видео
16 августа 2019 г. 19:33:43
00:13:09
Яндекс.Метрика