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I'm really excited to try the new Lora! Thanks for your hard work. Looking forward to it working with autodiff and distributions.
A feature Pymc 3 has is missing data imputation from dataframes.
Wo…
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I am conducting a mediation analysis on data where y is binary, mediator is continuous, and exposure is binary.
Because of missing data, I specify estimation = "imputation", inference = "bootstrap"…
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### **Data Cleaning and Exploration:**
**Dropping Rows (23, 24, 26, 27):** It would be helpful to understand the rationale behind dropping these specific rows before Exploratory Data Analysis (EDA)…
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#### From Marcus:
Roughly speaking I was thinking of being able to write models like this;
```
data{
matrix[N,M] Data;
}
transformed data {
int missing_inds[];
missing_inds
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I'm running GLIMPSE2_phase v2.0.0 which is up to date for 1 sample for chromosome 1.
Here is my script:
```bash
GLIMPSE2_phase --input-gl /data/GL_file_merged/high_dep_100.chr1.vcf.gz --reference …
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When I ran scMetabolism to quantify metabolic activity ,I met some problem:
library(Seurat)
library(scMetabolism)
scRNA dense coercion: allocating vector of size 5.9 GiB
Is there anyone encounter …
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### Description of current behavior
When `Inf` or `-Inf` are encountered in data, `brm` passes these rows to Stan, which fails because it is not able to evaluate the lp at the initial values. I think…
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Hello,
Your wonderful paper highlights that Network enhancement (NE) is a top performing method. I'd like to run the same thing on my data, however, I need some clarification in how to run it. Foll…
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Hi,
I have a VCF that was processed with [HiPhase](https://github.com/PacificBiosciences/HiPhase). The file contains lines with "|" as well as "/" for the `GT` value. Example:
```
chrX 1189233 …
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1. Aim: benchmark the quality of missing data imputation and find if imputing data is necessary for decision-making based on the metabolomics data.
2. Scheme: https://viewer.diagrams.net/?page-id…