Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Jeong-Woo Oh
Observed names:
Jeong-woo Oh,
Oh, Jeong-Woo
Observed institutions:
Samsung Medical Center,
Research Institute for Future Medicine,
Sungkyunkwan University
OpenAlex ID:
A5070906604
Pharmacogenomic landscape of patient-derived tumor cells informs precision oncology therapy
2018
·
Jin-Ku Lee
, Zhaoqi Liu
, et al.
·
Nature Genetics
·
213
Potent effect of the MDM2 inhibitor AMG232 on suppression of glioblastoma stem cells
2018
·
Nam-Gu Her
, Jeong-Woo Oh
, et al.
·
Cell Death and Disease
·
70
PDF
Secretome analysis of patient-derived GBM tumor spheres identifies midkine as a potent therapeutic target
2019
·
Suji Han
, Hyemi Shin
, et al.
·
Experimental & Molecular Medicine
·
59
PDF
DeepHCS + + : Bright-field to fluorescence microscopy image conversion using multi-task learning with adversarial losses for label-free high-content screening
2021
·
Gyuhyun Lee
, Jeong-Woo Oh
, et al.
·
Medical Image Analysis
·
32
Pharmacogenomic analysis of patient-derived tumor cells in gynecologic cancers
2019
·
Jason K. Sa
, Jae Ryoung Hwang
, et al.
·
Genome biology
·
28
PDF
Pharmacogenomic profiling reveals molecular features of chemotherapy resistance in IDH wild-type primary glioblastoma
2023
·
Yoonhee Nam
, Harim Koo
, et al.
·
Genome Medicine
·
24
PDF
The Protein Neddylation Inhibitor MLN4924 Suppresses Patient-Derived Glioblastoma Cells via Inhibition of ERK and AKT Signaling
2019
·
Suji Han
, Hyemi Shin
, et al.
·
Cancers
·
24
PDF
Accuracy improvement of quantification information using super-resolution with convolutional neural network for microscopy images
2020
·
Mi-Sun Kang
, Eunju Cha
, et al.
·
Biomedical Signal Processing and Control
·
18
Novel Semi-Replicative Retroviral Vector Mediated Double Suicide Gene Transfer Enhances Antitumor Effects in Patient-Derived Glioblastoma Models
2019
·
Mijeong Lee
, Yeon-Soo Kim
, et al.
·
Cancers
·
11
PDF
DeepHCS: Bright-Field to Fluorescence Microscopy Image Conversion Using Deep Learning for Label-Free High-Content Screening
2018
·
Gyuhyun Lee
, Jeong-Woo Oh
, et al.
·
Lecture notes in computer science
·
11
High-Content Analysis-Based Sensitivity Prediction and Novel Therapeutics Screening for c-Met-Addicted Glioblastoma
2021
·
Jeong-Woo Oh
, Yun Jeong Oh
, et al.
·
Cancers
·
9
PDF
Patient-derived organoids predict personalized drug response and reveal alternative therapeutic options in glioblastoma
2026
·
Jisu Park
, Meiyu Qiu
, et al.
·
Cell Reports Medicine
·
5
Additional file 1 of Pharmacogenomic profiling reveals molecular features of chemotherapy resistance in IDH wild-type primary glioblastoma
2023
·
Nam, Yoonhee
, Koo, Harim
, et al.
·
Figshare
Correction: Secretome analysis of patient-derived GBM tumorspheres identifies midkine as a potent therapeutic target
2020
·
Suji Han
, Hyemi Shin
, et al.
·
Experimental & Molecular Medicine
PDF
MOESM7 of Pharmacogenomic analysis of patient-derived tumor cells in gynecologic cancers
2019
·
Sa, Jason
, Hwang, Jae
, et al.
·
Figshare
MOESM9 of Pharmacogenomic analysis of patient-derived tumor cells in gynecologic cancers
2019
·
Sa, Jason
, Hwang, Jae
, et al.
·
Figshare
MOESM2 of Pharmacogenomic analysis of patient-derived tumor cells in gynecologic cancers
2019
·
Sa, Jason
, Hwang, Jae
, et al.
·
Figshare
MOESM6 of Pharmacogenomic analysis of patient-derived tumor cells in gynecologic cancers
2019
·
Sa, Jason
, Hwang, Jae
, et al.
·
Figshare
MOESM3 of Pharmacogenomic analysis of patient-derived tumor cells in gynecologic cancers
2019
·
Sa, Jason
, Hwang, Jae
, et al.
·
Figshare
MOESM8 of Pharmacogenomic analysis of patient-derived tumor cells in gynecologic cancers
2019
·
Sa, Jason
, Hwang, Jae
, et al.
·
Figshare
MOESM5 of Pharmacogenomic analysis of patient-derived tumor cells in gynecologic cancers
2019
·
Sa, Jason
, Hwang, Jae
, et al.
·
Figshare
MOESM4 of Pharmacogenomic analysis of patient-derived tumor cells in gynecologic cancers
2019
·
Sa, Jason
, Hwang, Jae
, et al.
·
Figshare
Show more works
View as search
Works count:
22
Citation count:
504
H-index:
10
I10-index:
10
Year
Topic
Type