PRANA : an R package for differential co-expression network analysis with the presence of additional covariates
© 2023. The Author(s)..
BACKGROUND: Advances in sequencing technology and cost reduction have enabled an emergence of various statistical methods used in RNA-sequencing data, including the differential co-expression network analysis (or differential network analysis). A key benefit of this method is that it takes into consideration the interactions between or among genes and do not require an established knowledge in biological pathways. As of now, none of existing softwares can incorporate covariates that should be adjusted if they are confounding factors while performing the differential network analysis.
RESULTS: We develop an R package PRANA which a user can easily include multiple covariates. The main R function in this package leverages a novel pseudo-value regression approach for a differential network analysis in RNA-sequencing data. This software is also enclosed with complementary R functions for extracting adjusted p-values and coefficient estimates of all or specific variable for each gene, as well as for identifying the names of genes that are differentially connected (DC, hereafter) between subjects under biologically different conditions from the output.
CONCLUSION: Herewith, we demonstrate the application of this package in a real data on chronic obstructive pulmonary disease. PRANA is available through the CRAN repositories under the GPL-3 license: https://cran.r-project.org/web/packages/PRANA/index.html.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2023 |
|---|---|
| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:24 |
|---|---|
| Enthalten in: |
BMC genomics - 24(2023), 1 vom: 16. Nov., Seite 687 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Ahn, Seungjun [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
63231-63-0 |
|---|
| Anmerkungen: |
Date Completed 27.11.2023 Date Revised 10.02.2024 published: Electronic Citation Status MEDLINE |
|---|
| doi: |
10.1186/s12864-023-09787-3 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM364656352 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM364656352 | ||
| 003 | DE-627 | ||
| 005 | 20240210232914.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231226s2023 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1186/s12864-023-09787-3 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1287.xml |
| 035 | |a (DE-627)NLM364656352 | ||
| 035 | |a (NLM)37974076 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Ahn, Seungjun |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a PRANA |b an R package for differential co-expression network analysis with the presence of additional covariates |
| 264 | 1 | |c 2023 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 27.11.2023 | ||
| 500 | |a Date Revised 10.02.2024 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2023. The Author(s). | ||
| 520 | |a BACKGROUND: Advances in sequencing technology and cost reduction have enabled an emergence of various statistical methods used in RNA-sequencing data, including the differential co-expression network analysis (or differential network analysis). A key benefit of this method is that it takes into consideration the interactions between or among genes and do not require an established knowledge in biological pathways. As of now, none of existing softwares can incorporate covariates that should be adjusted if they are confounding factors while performing the differential network analysis | ||
| 520 | |a RESULTS: We develop an R package PRANA which a user can easily include multiple covariates. The main R function in this package leverages a novel pseudo-value regression approach for a differential network analysis in RNA-sequencing data. This software is also enclosed with complementary R functions for extracting adjusted p-values and coefficient estimates of all or specific variable for each gene, as well as for identifying the names of genes that are differentially connected (DC, hereafter) between subjects under biologically different conditions from the output | ||
| 520 | |a CONCLUSION: Herewith, we demonstrate the application of this package in a real data on chronic obstructive pulmonary disease. PRANA is available through the CRAN repositories under the GPL-3 license: https://cran.r-project.org/web/packages/PRANA/index.html | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Covariate adjustment | |
| 650 | 4 | |a Differential network analysis | |
| 650 | 4 | |a Pseudo-value regression | |
| 650 | 4 | |a RNA-Seq data | |
| 650 | 7 | |a RNA |2 NLM | |
| 650 | 7 | |a 63231-63-0 |2 NLM | |
| 700 | 1 | |a Datta, Somnath |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t BMC genomics |d 2000 |g 24(2023), 1 vom: 16. Nov., Seite 687 |w (DE-627)NLM10921594X |x 1471-2164 |7 nnns |
| 773 | 1 | 8 | |g volume:24 |g year:2023 |g number:1 |g day:16 |g month:11 |g pages:687 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1186/s12864-023-09787-3 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 24 |j 2023 |e 1 |b 16 |c 11 |h 687 | ||