Row 22016

Row ID: 22016 | Dataset Entry | Axioma AXP Content Repository

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I believe Oxford Nanopore's base caller uses an RNN last I looked. [Used in live surgery!!!](https://www.nature.com/articles/s41586-023-06615-2)

Also all the combination of methylation biomarkers into detection models is very ml. While the definition of markers tend to use more high throughput bioinformatic statistical methods (where p >>>n). (not so suited for ml historically- i think thats part of the novelty of the sparse learning in the paper.)

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text I believe Oxford Nanopore's base caller uses an RNN last I looked. [Used in live surgery!!!](https://www.nature.com/articles/s41586-023-06615-2) Also all the combination of methylation biomarkers into detection models is very ml. While the definition of markers tend to use more high throughput bioinformatic statistical methods (where p >>>n). (not so suited for ml historically- i think thats part of the novelty of the sparse learning in the paper.)
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-21
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  "text": "I believe Oxford Nanopore's  base caller uses an RNN last I looked. [Used in live surgery!!!](https://www.nature.com/articles/s41586-023-06615-2)\n\nAlso all the combination of  methylation biomarkers into detection models is very ml. While the definition of markers tend to use more high throughput bioinformatic statistical methods (where p >>>n). (not so suited for ml  historically- i think thats part of the novelty of the sparse learning in the paper.)",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-21",
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