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Ie Ming Shih
Researcher at Johns Hopkins University
Publications - 401
Citations - 40438
Ie Ming Shih is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Ovarian cancer & Serous fluid. The author has an hindex of 97, co-authored 378 publications receiving 35329 citations. Previous affiliations of Ie Ming Shih include Howard Hughes Medical Institute & MedStar Washington Hospital Center.
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Journal ArticleDOI
Mutation of NRAS is a rare genetic event in ovarian low-grade serous carcinoma
Deyin Xing,Yohan Suryo Rahmanto,Felix Zeppernick,Charlotte Gerd Hannibal,Susanne K. Kjaer,Russell Vang,Ie Ming Shih,Tian Li Wang +7 more
TL;DR: Results indicate that, although recurrent NRAS mutations are present, their low prevalence indicates that NRAS plays a limited role in the development of LGSC, and further studies to identify other oncogenic events that drive LGSC progression are warranted.
Journal ArticleDOI
ChIP-BIT: Bayesian inference of target genes using a novel joint probabilistic model of ChIP-seq profiles
Xi Chen,Jin Gyoung Jung,Ayesha N. Shajahan-Haq,Robert Clarke,Ie Ming Shih,Yue Wang,Luca Magnani,Tian Li Wang,Jianhua Xuan +8 more
TL;DR: A novel Bayesian approach to reliably detect transcription factor binding sites and their target genes by jointly modeling binding signal intensities and binding locations of TFBSs is developed using ChIP-BIT, a Gaussian mixture model used to capture both binding and background signals in sample data.
Journal ArticleDOI
Trophoblastic vasculogenic mimicry in gestational choriocarcinoma
TL;DR: Findings provide cogent evidence that choriocarcinoma represents one of a few human tumor types that utilizes vasculogenic mimicry by tumor cell in supporting tumor development.
Journal ArticleDOI
Generation and characterization of an ascitogenic mesothelin-expressing tumor model.
Wen-Fang Cheng,Chien Fu Hung,Chee Yin Chai,Chi-An Chen,Chien-Nan Lee,Yi Ning Su,Wen Yin Isaac Tseng,Chang-Yao Hsieh,Ie Ming Shih,Tian Li Wang,Tzyy Choou Wu +10 more
TL;DR: A suitable preclinical intra peritoneal model will assist in the illustration of the mechanisms of molecular oncogenesis and facilitate in addressing issues related to early screening, diagnosis, and therapy for intraperitoneal tumors.
Proceedings ArticleDOI
Integrative network analysis to identify aberrant pathway networks in ovarian cancer
TL;DR: An integrative framework to identify pathway related networks based on large-scale TCGA copy number data and gene expression profiles to identify biological meaningful subnetworks involved in many signaling pathways related to ovarian cancer is proposed.