Author

Ki‐Jo Kim

The Catholic University of Korea St. Vincent's HospitalORCID 0000-0002-3598-2396Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Ilias TagkopoulosiD· 2 shared Minseung KimiD· 2 shared Iannis E. AdamopoulosiD· 1 shared Navneet RaiiD· 1 shared

Activity by Year

2018-2019 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 5 mutual co-author links

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2 shared papersBioinformatics

Ilias TagkopoulosORCID

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2 papers

Recent·Most cited

BioinformaticsClinical ImmunologyPeer-reviewedMar 1, 2019

Compendium of Synovial Signatures Identifies Pathologic Characteristics for Predicting Treatment Response in Rheumatoid Arthritis

Ki‐Jo Kim, Minseung Kim, Iannis E. Adamopoulos, Ilias Tagkopoulos

The paper builds a normalized synovial transcriptomic compendium of RA patients to identify gene expression signatures predictive of treatment response to infliximab and other drugs.

32 citations

humanbulk RNA-seq

Systems BiologybioRxivPreprintMay 31, 2018

A network-based model for drug repurposing in Rheumatoid Arthritis

Ki‐Jo Kim, Navneet Rai, Minseung Kim, Ilias Tagkopoulos

This paper develops a network-based model to identify drug repositioning targets for RA, finding that anti-diabetic agents have similar network signatures to DMARDs and predicting synergistic drug combinations.

3 citations

humanstatistical model