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Arxiv
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March 30, 2023
Differential Co-Abundance Network Analyses for Microbiome Data Adjusted for Clinical Covariates Using Jackknife Pseudo-Values
Seungjun Ahn, Somnath Datta
BMC Genomics
|
November 17, 2023
PRANA: an R package for differential co-expression network analysis with the presence of additional covariates
Seungjun Ahn, Somnath Datta
Bioinformatics (Oxford, England)
|
December 22, 2023
SOHPIE: statistical approach via pseudo-value information and estimation for differential network analysis of microbiome data
Seungjun Ahn, Somnath Datta
BMC Bioinformatics
|
March 19, 2024
Differential network connectivity analysis for microbiome data adjusted for clinical covariates using jackknife pseudo-values
Seungjun Ahn, Somnath Datta
Bioinformatics Advances
|
March 2, 2026
A network-guided penalized regression with application to proteomics data
Seungjun Ahn, Eun Jeong Oh
Frontiers in Genetics
|
September 9, 2021
The Analysis of Gene Expression Data Incorporating Tumor Purity Information
Seungjun Ahn, Tyler Grimes, Somnath Datta
Heliyon
|
September 2, 2024
Feasibility of using electrodermal activity responses to assess level of crowdedness of pedestrian paths
Heejung Lee, Sungjoo Hwang, Seungjun Ahn
Accident; Analysis and Prevention
|
January 14, 2020
VR-Based investigation of forklift operator situation awareness for preventing collision accidents
Minji Choi, Seungjun Ahn, JoonOh Seo
BMC Bioinformatics
|
January 9, 2023
A pseudo-value regression approach for differential network analysis of co-expression data
Seungjun Ahn, Tyler Grimes, Somnath Datta
Frontiers in Genetics
|
September 4, 2023
Identification of shared biological features in four different lung cell lines infected with SARS-CoV-2 virus through RNA-seq analysis
Xiaoxi Zhang, Seungjun Ahn, Peihua Qiu, et al.
Page
of 5
Search research articles
Search
Showing results (1-10 of 43) with videos related to
Sort By:
Page
of 5
Arxiv
|
March 30, 2023
Differential Co-Abundance Network Analyses for Microbiome Data Adjusted for Clinical Covariates Using Jackknife Pseudo-Values
Seungjun Ahn, Somnath Datta
BMC Genomics
|
November 17, 2023
PRANA: an R package for differential co-expression network analysis with the presence of additional covariates
Seungjun Ahn, Somnath Datta
Bioinformatics (Oxford, England)
|
December 22, 2023
SOHPIE: statistical approach via pseudo-value information and estimation for differential network analysis of microbiome data
Seungjun Ahn, Somnath Datta
BMC Bioinformatics
|
March 19, 2024
Differential network connectivity analysis for microbiome data adjusted for clinical covariates using jackknife pseudo-values
Seungjun Ahn, Somnath Datta
Bioinformatics Advances
|
March 2, 2026
A network-guided penalized regression with application to proteomics data
Seungjun Ahn, Eun Jeong Oh
Frontiers in Genetics
|
September 9, 2021
The Analysis of Gene Expression Data Incorporating Tumor Purity Information
Seungjun Ahn, Tyler Grimes, Somnath Datta
Heliyon
|
September 2, 2024
Feasibility of using electrodermal activity responses to assess level of crowdedness of pedestrian paths
Heejung Lee, Sungjoo Hwang, Seungjun Ahn
Accident; Analysis and Prevention
|
January 14, 2020
VR-Based investigation of forklift operator situation awareness for preventing collision accidents
Minji Choi, Seungjun Ahn, JoonOh Seo
BMC Bioinformatics
|
January 9, 2023
A pseudo-value regression approach for differential network analysis of co-expression data
Seungjun Ahn, Tyler Grimes, Somnath Datta
Frontiers in Genetics
|
September 4, 2023
Identification of shared biological features in four different lung cell lines infected with SARS-CoV-2 virus through RNA-seq analysis
Xiaoxi Zhang, Seungjun Ahn, Peihua Qiu, et al.
Page
of 5