Row 39388

Row ID: 39388 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 39388 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

Yeah, I didn’t state that well. I was thinking post GWAS linking causal gene expression to phenotypes. I am not an expert here but have collaborated on projects as an epidemiologist measuring patient phenotypes from large electronic EHR. For example, improved polygenic risk scoring and detection of epistatic interactions.

Most of the GWAS studies presented in our department report using AutoML GWAS, at least that is my memory. It may be that ML based GWAS is becoming more popular but I was thinking of analytics more likely described as post GWAS.

I am not expert here so I could be wrong too.

FieldValue
text Yeah, I didn’t state that well. I was thinking post GWAS linking causal gene expression to phenotypes. I am not an expert here but have collaborated on projects as an epidemiologist measuring patient phenotypes from large electronic EHR. For example, improved polygenic risk scoring and detection of epistatic interactions. Most of the GWAS studies presented in our department report using AutoML GWAS, at least that is my memory. It may be that ML based GWAS is becoming more popular but I was thin…
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-22
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url_encoded Z0FBQUFBQm5Lak9iRDk4bngwVDZWN1dmZkpyRUxzaldwb1YwUDNrekVNejB3YmNOczVfaXNmMU03RXNKNmVMa01OdmtsVmI1M3gwWXhxNERCZWthaWdvQlVIT25haWZacjU1Z1JpUmlxdGM0aEYzUWlQNjFTWi1FbEJfcF9NRHdnaGxFQ2JjWGFiX0o1NGVDREp4NE43LVFhLUZPRGZsYkM3bzFPOWdDZ2pVX1U5N19SNk11V0RYdExjZVVqRml5YjhoeTlCZ0ktY1dOb1JrcVBPUHBqaTZoZzVmcmN0cDdwZWwtY2ItS1JJTmxlWW1jOHZGaUxYVT0=

Raw Record

{
  "text": "Yeah, I didn’t state that well. I was thinking post GWAS linking causal gene expression to phenotypes. I am not an expert here but have collaborated on projects as an epidemiologist measuring patient phenotypes from large electronic EHR. For example, improved polygenic risk scoring and detection of epistatic interactions.\n\nMost of the GWAS studies presented in our department report using AutoML GWAS, at least that is my memory. It may be that ML based GWAS is becoming more popular but I was thinking of analytics more likely described as post GWAS. \n\nI am not expert here so I could be wrong too.",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-22",
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}
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