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Recompiled README.Rmd
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README.md

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@@ -30,7 +30,7 @@
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commit](https://img.shields.io/github/last-commit/jr-leary7/scLANE/main?color=darkgreen)
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[![codecov](https://codecov.io/gh/jr-leary7/scLANE/branch/main/graph/badge.svg?token=U2U5RTF2VW)](https://codecov.io/gh/jr-leary7/scLANE)
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[![CodeFactor](https://www.codefactor.io/repository/github/jr-leary7/sclane/badge)](https://www.codefactor.io/repository/github/jr-leary7/sclane)
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[![DOI](https://img.shields.io/static/v1?label=DOI&message=10.5281/zenodo.10182497&color=blue)](https://doi.org/10.5281/zenodo.10182497)
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[![DOI](https://img.shields.io/static/v1?label=DOI&message=10.1101/2023.12.19.572477&color=blue)](https://doi.org/10.1101/2023.12.19.572477)
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[![License:
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MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
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<!-- badges: end -->
@@ -172,12 +172,12 @@ scLANE_models_glm <- testDynamic(sim_data,
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pt = order_df,
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genes = gene_sample,
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size.factor.offset = cell_offset,
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n.cores = 4,
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n.cores = 4L,
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verbose = FALSE)
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#> Registered S3 method overwritten by 'bit':
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#> method from
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#> print.ri gamlss
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#> scLANE testing completed for 100 genes across 1 lineage in 45.702 secs
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#> scLANE testing completed for 100 genes across 1 lineage in 35.37 secs
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```
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After the function finishes running, we use `getResultsDE()` to generate
@@ -195,13 +195,13 @@ select(scLANE_res_glm, Gene, Lineage, Test_Stat, P_Val, P_Val_Adj, Gene_Dynamic_
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col.names = c("Gene", "Lineage", "LRT stat.", "P-value", "Adj. p-value", "Predicted dynamic status"))
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```
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| Gene | Lineage | LRT stat. | P-value | Adj. p-value | Predicted dynamic status |
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|:---------|:--------|----------:|--------:|-------------:|-------------------------:|
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| MFSD2B | A | 216.750 | 0.000 | 0.000 | 1 |
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| RPL29 | A | 5.632 | 0.018 | 0.353 | 0 |
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| UAP1L1 | A | 9.880 | 0.007 | 0.157 | 0 |
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| TMCO3 | A | 167.709 | 0.000 | 0.000 | 1 |
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| GOLGA8EP | A | 4.359 | 0.037 | 0.487 | 0 |
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| Gene | Lineage | LRT stat. | P-value | Adj. p-value | Predicted dynamic status |
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|:-----------|:--------|----------:|--------:|-------------:|-------------------------:|
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| RAB1B | A | 219.950 | 0.000 | 0.000 | 1 |
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| LY75.CD302 | A | 4.858 | 0.028 | 0.541 | 0 |
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| UAP1L1 | A | 9.894 | 0.007 | 0.163 | 0 |
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| TMCO3 | A | 167.311 | 0.000 | 0.000 | 1 |
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| GOLGA8EP | A | 4.201 | 0.040 | 0.567 | 0 |
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### GEE mode
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@@ -222,9 +222,9 @@ scLANE_models_gee <- testDynamic(sim_data,
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is.gee = TRUE,
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id.vec = sim_data$subject,
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cor.structure = "ar1",
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n.cores = 4,
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n.cores = 4L,
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verbose = FALSE)
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#> scLANE testing completed for 100 genes across 1 lineage in 2.201 mins
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#> scLANE testing completed for 100 genes across 1 lineage in 1.525 mins
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```
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We again generate the table of DE test results. The variance of the
@@ -242,11 +242,11 @@ select(scLANE_res_gee, Gene, Lineage, Test_Stat, P_Val, P_Val_Adj, Gene_Dynamic_
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| Gene | Lineage | Wald stat. | P-value | Adj. p-value | Predicted dynamic status |
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|:---------|:--------|-----------:|--------:|-------------:|-------------------------:|
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| DGUOK | A | 64351.893 | 0 | 0 | 1 |
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| TBCC | A | 32.151 | 0 | 0 | 1 |
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| DGUOK | A | 200675.460 | 0 | 0 | 1 |
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| TBCC | A | 40.399 | 0 | 0 | 1 |
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| GOLGA8EP | A | NA | NA | NA | 0 |
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| TMC6 | A | 5052.168 | 0 | 0 | 1 |
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| JARID2 | A | 1512.240 | 0 | 0 | 1 |
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| EMC3 | A | 8397.337 | 0 | 0 | 1 |
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| DDX41 | A | 3486.998 | 0 | 0 | 1 |
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### GLMM mode
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@@ -267,11 +267,10 @@ scLANE_models_glmm <- testDynamic(sim_data,
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size.factor.offset = cell_offset,
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n.potential.basis.fns = 3,
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is.glmm = TRUE,
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glmm.adaptive = TRUE,
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id.vec = sim_data$subject,
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n.cores = 4,
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n.cores = 4L,
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verbose = FALSE)
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#> scLANE testing completed for 100 genes across 1 lineage in 2.968 mins
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#> scLANE testing completed for 100 genes across 1 lineage in 3.133 mins
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```
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**Note:** The GLMM mode is still under development, as we are working on
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col.names = c("Gene", "Lineage", "LRT stat.", "P-value", "Adj. p-value", "Predicted dynamic status"))
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```
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| Gene | Lineage | LRT stat. | P-value | Adj. p-value | Predicted dynamic status |
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|:--------|:--------|----------:|--------:|-------------:|-------------------------:|
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| DDX1 | A | 132.422 | 0.000 | 0 | 1 |
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| GGNBP2 | A | 73.683 | 0.000 | 0 | 1 |
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| WDSUB1 | A | NA | NA | NA | 0 |
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| FAM135B | A | NA | NA | NA | 0 |
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| DAB1 | A | 9.217 | 0.684 | 1 | 0 |
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| Gene | Lineage | LRT stat. | P-value | Adj. p-value | Predicted dynamic status |
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|:-------|:--------|----------:|--------:|-------------:|-------------------------:|
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| VDAC1 | A | 205.644 | 0.000 | 0 | 1 |
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| CKAP4 | A | 139.246 | 0.000 | 0 | 1 |
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| MRTO4 | A | 5.048 | 0.998 | 1 | 0 |
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| FOXD3 | A | 2.586 | 1.000 | 1 | 0 |
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| UBE2Q1 | A | 94.077 | 0.000 | 0 | 1 |
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## Downstream analysis & visualization
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