L
Liang Liu
Researcher at Wake Forest University
Publications - 37
Citations - 1179
Liang Liu is an academic researcher from Wake Forest University. The author has contributed to research in topics: Medicine & Gene. The author has an hindex of 13, co-authored 26 publications receiving 751 citations. Previous affiliations of Liang Liu include University of Missouri & Wake Forest Baptist Medical Center.
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Journal ArticleDOI
A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers
Ashton C. Berger,Anil Korkut,Rupa S. Kanchi,Apurva M. Hegde,Walter F. Lenoir,Wenbin Liu,Yuexin Liu,Huihui Fan,Hui Shen,Visweswaran Ravikumar,Arvind Rao,Andre Schultz,Xubin Li,Pavel Sumazin,Cecilia Williams,Pieter Mestdagh,Preethi H. Gunaratne,Christina Yau,Reanne Bowlby,A. Gordon Robertson,Daniel Guimarães Tiezzi,Chen Wang,Andrew D. Cherniack,Andrew K. Godwin,Nicole M. Kuderer,Janet S. Rader,Rosemary E. Zuna,Anil K. Sood,Alexander J. Lazar,Akinyemi I. Ojesina,Clement Adebamowo,Sally N. Adebamowo,Keith A. Baggerly,Ting-Wen Chen,Hua-Sheng Chiu,Steve Lefever,Liang Liu,Karen L. MacKenzie,Sandra Orsulic,Jason Roszik,Carl Simon Shelley,Qianqian Song,Christopher P. Vellano,Nicolas Wentzensen,John N. Weinstein,Gordon B. Mills,Douglas A. Levine,Rehan Akbani +47 more
TL;DR: Using 16 key molecular features, five prognostic subtypes were identified and a decision tree that classified patients into the subtypes based on just six features that are assessable in clinical laboratories was developed, raising potential implications for immunotherapy.
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RPI-Pred: predicting ncRNA-protein interaction using sequence and structural information
TL;DR: The RPI-Pred (RNA-protein interaction predictor), a new support-vector machine-based method, to predict protein-RNA interaction pairs, based on both the sequences and structures, which was superior to other existing ones by predicting more experimentally validated ncRNA- protein interaction pairs from different organisms.
Journal ArticleDOI
Modeling the relationship of epigenetic modifications to transcription factor binding
TL;DR: This study presents a computational approach to systematically investigating how epigenetic changes in chromatin architectures or DNA sequences relate to TF binding, and elucidates highly coordinated, but location- and cell type-specific relationships between epigenetic modifications and binding affinities of TFs.
Journal ArticleDOI
Dissecting intratumoral myeloid cell plasticity by single cell RNA-seq
Qianqian Song,Qianqian Song,Gregory A. Hawkins,Gregory A. Hawkins,Leonard Wudel,Ping Chieh Chou,Ping Chieh Chou,Elizabeth Forbes,Elizabeth Forbes,Ashok K. Pullikuth,Ashok K. Pullikuth,Liang Liu,Liang Liu,Guangxu Jin,Guangxu Jin,Lou Craddock,Lou Craddock,Umit Topaloglu,Umit Topaloglu,Gregory L. Kucera,Gregory L. Kucera,Stacey S O'Neill,Stacey S O'Neill,Edward A. Levine,Edward A. Levine,Peiqing Sun,Kounosuke Watabe,Yong Lu,Martha A. Alexander-Miller,Boris Pasche,Boris Pasche,Lance D. Miller,Lance D. Miller,Wei Zhang,Wei Zhang +34 more
TL;DR: Overall, this study identified the prevalent monocyte‐to‐M2 differentiation in NSCLC, accompanied by an intricate transcriptional reprogramming mediated by specific transcriptional activators and intercellular crosstalk involving ligand‐receptor interactions.
Journal ArticleDOI
Analysis of DNA methylation and gene expression in radiation-resistant head and neck tumors
Xiaofei Chen,Liang Liu,Jade Mims,Elizabeth C. Punska,Kristin E. Williams,Weiling Zhao,Kathleen F. Arcaro,Allen W. Tsang,Xiaobo Zhou,Cristina M. Furdui +9 more
TL;DR: Analysis of HNSCC data from The Cancer Genome Atlas found increased methylation in radiation-resistant tumors, consistent with the cell culture data, and suggest a need for targeted manipulation of DNA methylation to increase radiation response in HNS CC.