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Methods in Molecular Biology (Clifton, N.J.)|September 2, 2016
Establishing an Infrastructure for High-Throughput Short-Interfering RNA ScreeningHongwei Yin, Chris Sereduk, Nanyun Tang
Molecular Cancer|November 29, 2011
NONO and RALY proteins are required for YB-1 oxaliplatin induced resistance in colon adenocarcinoma cell linesSerges P Tsofack, Chantal Garand, Chris Sereduk, et al.
Cancer Science|April 7, 2011
An integrative approach to identify YB-1-interacting proteins required for cisplatin resistance in MCF7 and MDA-MB-231 breast cancer cellsChantal Garand, David Guay, Chris Sereduk, et al.
Cancer Research|December 8, 2011
Identification of molecular vulnerabilities in human multiple myeloma cells by RNA interference lethality screening of the druggable genomeRodger E Tiedemann, Yuan Xao Zhu, Jessica Schmidt, et al.
Blood|February 4, 2011
RNAi screen of the druggable genome identifies modulators of proteasome inhibitor sensitivity in myeloma including CDK5Yuan Xiao Zhu, Rodger Tiedemann, Chang-Xin Shi, et al.
Oncotarget|February 18, 2017
Analysis of variability in high throughput screening data: applications to melanoma cell lines and drug responsesKuan-Fu Ding, Darren Finlay, Hongwei Yin, et al.
Frontiers in Genetics|July 26, 2018
Network Rewiring in Cancer: Applications to Melanoma Cell Lines and the Cancer Genome Atlas PatientsKuan-Fu Ding, Darren Finlay, Hongwei Yin, et al.
Oncotarget|February 14, 2018
Nonlinear mixed effects dose response modeling in high throughput drug screens: application to melanoma cell line analysisKuan-Fu Ding, Emanuel F Petricoin, Darren Finlay, et al.
Blood|November 15, 2014
RNA interference screening identifies lenalidomide sensitizers in multiple myeloma, including RSK2Yuan Xiao Zhu, Hongwei Yin, Laura A Bruins, et al.
IEEE Transactions on Automation Science and Engineering : a Publication of the IEEE Robotics and Automation Society|August 4, 2025
Weakly-Supervised Transfer Learning with Application in Precision MedicineLingchao Mao, Lujia Wang, Leland S Hu, et al.
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