The somatic genomic landscape of glioblastoma CW Brennan, RGW Verhaak, A McKenna, B Campos, H Noushmehr, ... cell 155 (2), 462-477, 2013 | 5165 | 2013 |
Characterization of twenty-five ovarian tumour cell lines that phenocopy primary tumours TA Ince, AD Sousa, MA Jones, JC Harrell, ES Agoston, M Krohn, ... Nature communications 6 (1), 7419, 2015 | 214 | 2015 |
Optimizing sparse sequencing of single cells for highly multiplex copy number profiling T Baslan, J Kendall, B Ward, H Cox, A Leotta, L Rodgers, M Riggs, ... Genome research 25 (5), 714-724, 2015 | 135 | 2015 |
CanDrA: cancer-specific driver missense mutation annotation with optimized features Y Mao, H Chen, H Liang, F Meric-Bernstam, GB Mills, K Chen PloS one 8 (10), e77945, 2013 | 127 | 2013 |
Multiclass cancer classification by using fuzzy support vector machine and binary decision tree with gene selection Y Mao, X Zhou, D Pi, Y Sun, STC Wong BioMed Research International 2005 (2), 160-171, 2005 | 109 | 2005 |
Clinical actionability enhanced through deep targeted sequencing of solid tumors K Chen, F Meric-Bernstam, H Zhao, Q Zhang, N Ezzeddine, L Tang, Y Qi, ... Clinical chemistry 61 (3), 544-553, 2015 | 107 | 2015 |
A survey of intragenic breakpoints in glioblastoma identifies a distinct subset associated with poor survival S Zheng, J Fu, R Vegesna, Y Mao, LE Heathcock, W Torres-Garcia, ... Genes & development 27 (13), 1462-1472, 2013 | 86 | 2013 |
Implementation of biomarker-driven cancer therapy: existing tools and remaining gaps AM Bailey, Y Mao, J Zeng, V Holla, A Johnson, L Brusco, K Chen, ... Discovery medicine 17 (92), 101, 2014 | 82 | 2014 |
Identification of a novel PARP14‐TFE3 gene fusion from 10‐year‐old FFPE tissue by RNA‐seq W Huang, M Goldfischer, S Babayeva, Y Mao, K Volyanskyy, N Dimitrova, ... Genes, Chromosomes and Cancer 54 (8), 500-505, 2015 | 70 | 2015 |
Novel insights into breast cancer copy number genetic heterogeneity revealed by single-cell genome sequencing T Baslan, J Kendall, K Volyanskyy, K McNamara, H Cox, S D'Italia, ... elife 9, e51480, 2020 | 69 | 2020 |
Using genetic and clinical factors to predict tacrolimus dose in renal transplant recipients P Wang, Y Mao, J Razo, X Zhou, STC Wong, S Patel, E Elliott, E Shea, ... Pharmacogenomics 11 (10), 1389-1402, 2010 | 66 | 2010 |
Survey for study of feature selection algorithms Y Mao, XB Zhou, Z Xia, Z Yin, YX Sun Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial …, 2007 | 62 | 2007 |
Novel approach for developing urinary nucleosides profile by capillary electrophoresis–mass spectrometry S Wang, X Zhao, Y Mao, Y Cheng Journal of Chromatography A 1147 (2), 254-260, 2007 | 54 | 2007 |
Parameters selection in gene selection using Gaussian kernel support vector machines by genetic algorithm M Yong, Z Xiao-bo, PI Dao-Ying, S You-xian, W Stephen TC Journal of zhejiang university science B 6, 961-973, 2005 | 54 | 2005 |
Fault diagnosis based on fuzzy support vector machine with parameter tuning and feature selection MAO Yong, XIA Zheng, YIN Zheng, SUN Youxian, WAN Zheng Chinese Journal of Chemical Engineering 15 (2), 233-239, 2007 | 53 | 2007 |
A metabonomic characterization of CCl4-induced acute liver failure using partial least square regression based on the GC/MS metabolic profiles of plasma in mice X Huang, L Shao, Y Gong, Y Mao, C Liu, H Qu, Y Cheng Journal of Chromatography B 870 (2), 178-185, 2008 | 51 | 2008 |
The effect of mTOR inhibition alone or combined with MEK inhibitors on brain metastasis: an in vivo analysis in triple-negative breast cancer models H Zhao, K Cui, F Nie, L Wang, MB Brandl, G Jin, F Li, Y Mao, Z Xue, ... Breast cancer research and treatment 131, 425-436, 2012 | 49 | 2012 |
Urinary nucleosides based potential biomarker selection by support vector machine for bladder cancer recognition Y Mao, X Zhao, S Wang, Y Cheng Analytica chimica acta 598 (1), 34-40, 2007 | 49 | 2007 |
Accelerated recursive feature elimination based on support vector machine for key variable identification M Yong, P Daoying, LIU Yuming, SUN Youxian Chinese Journal of Chemical Engineering 14 (1), 65-72, 2006 | 36 | 2006 |
Metabonomic analysis of hepatitis B virus-induced liver failure: identification of potential diagnostic biomarkers by fuzzy support vector machine Y Mao, X Huang, K Yu, H Qu, C Liu, Y Cheng Journal of Zhejiang University SCIENCE B 9 (6), 474-481, 2008 | 22 | 2008 |