Mi Yang 个人学术档案 - 学术资源搜索

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	总计	2019 年至今
引用	736	693
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Julio Saez RodriguezHeidelberg University在 uni-heidelberg.de 的电子邮件经过验证
Stylianos E. AntonarakisProfessor of Genetic Medicine, University of Geneva Medical School在 unige.ch 的电子邮件经过验证
Yansheng LiuYale University School of Medicine在 yale.edu 的电子邮件经过验证
Aebersold RETH Zurich在 imsb.biol.ethz.ch 的电子邮件经过验证
Yves MoreauUniversity of Leuven在 esat.kuleuven.be 的电子邮件经过验证
Pooya ZakeriAssociate Professor - SCML group, Department of Informatics, University of Oslo在 ifi.uio.no 的电子邮件经过验证
Prof. Gerard JP van WestenPI Computational Drug Discovery (Professor AI & Med Chem, Leiden University)在 gjpvanwesten.nl 的电子邮件经过验证
Emanuel GonçalvesINESC-ID & IST - Universidade de Lisboa在 tecnico.ulisboa.pt 的电子邮件经过验证
Theodoros I. RoumeliotisThe Institute of Cancer Research在 icr.ac.uk 的电子邮件经过验证
Magali MichautDanStem, Copenhagen University, Denmark在 sund.ku.dk 的电子邮件经过验证
Michael SchubertPostdoc, Netherlands Cancer Institute (NKI-AVL)在 nki.nl 的电子邮件经过验证
Jyoti ChoudharyFunctional Proteomics在 icr.ac.uk 的电子邮件经过验证
Ultan McDermottFaculty, Wellcome Trust Sanger Institute在 sanger.ac.uk 的电子邮件经过验证
Oliver StegleGerman Cancer Research Center (DKFZ) & EMBL Heidelberg在 dkfz.de 的电子邮件经过验证

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Mi Yang

Sanofi

在 sanofi.com 的电子邮件经过验证

bioinformatics immuno-oncology systems pharmacology machine learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Multi-omic measurements of heterogeneity in HeLa cells across laboratories Y Liu, Y Mi, T Mueller, S Kreibich, EG Williams, A Van Drogen, C Borel, ... Nature biotechnology 37 (3), 314-322, 2019	322	2019
Genomic determinants of protein abundance variation in colorectal cancer cells TI Roumeliotis, SP Williams, E Gonçalves, C Alsinet, ... Cell reports 20 (9), 2201-2214, 2017	118	2017
Linking drug target and pathway activation for effective therapy using multi-task learning M Yang, J Simm, CC Lam, P Zakeri, GJP van Westen, Y Moreau, ... Scientific reports 8 (1), 8322, 2018	60	2018
Looking beyond the cancer cell for effective drug combinations JR Dry, M Yang, J Saez-Rodriguez Genome medicine 8, 1-13, 2016	47	2016
Stratification and prediction of drug synergy based on target functional similarity M Yang, P Jaaks, J Dry, M Garnett, MP Menden, J Saez-Rodriguez NPJ systems biology and applications 6 (1), 16, 2020	45	2020
CELLector: genomics-guided selection of cancer in vitro models H Najgebauer, M Yang, HE Francies, C Pacini, EA Stronach, MJ Garnett, ... Cell systems 10 (5), 424-432. e6, 2020	35	2020
Deciphering the signaling network of breast cancer improves drug sensitivity prediction M Tognetti, A Gabor, M Yang, V Cappelletti, J Windhager, OM Rueda, ... Cell Systems 12 (5), 401-418. e12, 2021	32	2021
DreamAI: algorithm for the imputation of proteomics data W Ma, S Kim, S Chowdhury, Z Li, M Yang, S Yoo, F Petralia, J Jacobsen, ... Biorxiv, 2020.07. 21.214205, 2020	31	2020
Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics M Yang, F Petralia, Z Li, H Li, W Ma, X Song, S Kim, H Lee, H Yu, B Lee, ... Cell Systems, 2020	24	2020
In silico Prioritization of Transporter–Drug Relationships From Drug Sensitivity Screens A César-Razquin, E Girardi, M Yang, M Brehme, J Saez-Rodriguez, ... Frontiers in Pharmacology 9, 1011, 2018	21	2018
Dynamic logic models complement machine learning to improve cancer treatment Y Mi, E Federica, SR Julio. Computational Systems Biology Approaches in Cancer Research, 2019	1*	2019

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