Row 20283

Row ID: 20283 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 20283 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

Let’s forget about ML, and just focus on your distinction between data driven vs. experiment driven.

For a large part, medicine *is* “data driven” irrespective of ML because you are given a disease phenotype without a genotype. Unless the pathways are very well described and the pathology resembles a similar disease, you are not going to approach with a forward genetics screen. GWAS, QTL, differential RNA expression, metabolome profiling are all untargeted experiments that provide you with data that is not specific to one pathway.

FieldValue
text Let’s forget about ML, and just focus on your distinction between data driven vs. experiment driven. For a large part, medicine *is* “data driven” irrespective of ML because you are given a disease phenotype without a genotype. Unless the pathways are very well described and the pathology resembles a similar disease, you are not going to approach with a forward genetics screen. GWAS, QTL, differential RNA expression, metabolome profiling are all untargeted experiments that provide you with dat…
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-21
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url_encoded Z0FBQUFBQm5Lak9PNGVycHdiOFgtZEhwbWQ5bFFlZVhOZWhrNVFuSHFSV2wwQjBrV3lqSjFHSV9BcXhRSU9ELXpiNUJweWw1QjZFSEdySmFmMDkyRWZMRVhKeU1hMDdSU2l6a2Ryckp2U2VqZGdVS0NCTjVIMmJFMl9XUXhjSUtrdnp6UVdMT0I2WW5faDh3T29vRGV6cjFNZFBmQWJrdHQ5bVFhdFU5RVdfR2RGYWs3RVFfRXJjTzBmdTNqNEhuaWtXR0tlRlJOLVlaQ25WQVdRZ3ViWTRNODFoOGIyV2dBWm5OdENRUUJBQk53VHNOWElZUTI5MD0=

Raw Record

{
  "text": "Let’s forget about ML, and just focus on your distinction between data driven vs. experiment driven. \n\nFor a large part, medicine *is* “data driven” irrespective of ML because you are given a disease phenotype without a genotype. Unless the pathways are very well described and the pathology resembles a similar disease, you are not going to approach with a forward genetics screen. GWAS, QTL, differential RNA expression, metabolome profiling are all untargeted experiments that provide you with data that is not specific to one pathway.",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-21",
  "username_encoded": "Z0FBQUFBQm5Lakxfb2pLN2xkMzd6STVJQ0lYelpZQnNWclJwcHZva1BtMERCUU1QV0xfVFl0UmVCMXVSQTdVYnoyM2t1WDhsb0xUNzBLOGNPRWl6V1FNMGJFTndTS1owV1E9PQ==",
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}
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