DEGseq: an R package for identifying differentially expressed genes from RNA-seq data L Wang, Z Feng, X Wang, X Wang, X Zhang Bioinformatics 26 (1), 136-138, 2010 | 4039 | 2010 |
A survey of best practices for RNA-seq data analysis A Conesa, P Madrigal, S Tarazona, D Gomez-Cabrero, A Cervera, ... Genome biology 17, 1-19, 2016 | 3182 | 2016 |
模式识别 边肇祺 清华大学出版社有限公司, 2000 | 2477 | 2000 |
关于统计学习理论与支持向量机 张学工 自动化学报 26 (1), 32-42, 2000 | 2146 | 2000 |
Introduction to statistical learning theory and support vector machines Z Xuegong Acta automatica sinica 26 (1), 32-42, 2000 | 981 | 2000 |
统计学习理论的本质 VN Vapnik 淸华大学华夏出版社, 2000 | 683 | 2000 |
Meta-analysis of genome-wide association studies identifies common variants associated with blood pressure variation in east Asians N Kato, F Takeuchi, Y Tabara, TN Kelly, MJ Go, X Sim, WT Tay, CH Chen, ... Nature genetics 43 (6), 531-538, 2011 | 634 | 2011 |
Classification of real and pseudo microRNA precursors using local structure-sequence features and support vector machine C Xue, F Li, T He, GP Liu, Y Li, X Zhang BMC bioinformatics 6, 1-7, 2005 | 598 | 2005 |
Understanding ZHENG in traditional Chinese medicine in the context of neuro-endocrine-immune network S Li, ZQ Zhang, LJ Wu, XG Zhang, YD Li, YY Wang IET systems biology 1 (1), 51-60, 2007 | 459 | 2007 |
Recursive SVM feature selection and sample classification for mass-spectrometry and microarray data X Zhang, X Lu, Q Shi, X Xu, HCE Leung, LN Harris, JD Iglehart, A Miron, ... BMC bioinformatics 7, 1-13, 2006 | 395 | 2006 |
dbSUPER: a database of super-enhancers in mouse and human genome A Khan, X Zhang Nucleic acids research 44 (D1), D164-D171, 2016 | 388 | 2016 |
MicroRNA identification based on sequence and structure alignment X Wang, J Zhang, F Li, J Gu, T He, X Zhang, Y Li Bioinformatics 21 (18), 3610-3614, 2005 | 375 | 2005 |
On ψ-learning X Shen, GC Tseng, X Zhang, WH Wong Journal of the American Statistical Association 98 (463), 724-734, 2003 | 263 | 2003 |
DEsingle for detecting three types of differential expression in single-cell RNA-seq data Z Miao, K Deng, X Wang, X Zhang Bioinformatics 34 (18), 3223-3224, 2018 | 257 | 2018 |
Using class-center vectors to build support vector machines X Zhang Neural networks for signal processing IX: proceedings of the 1999 IEEE …, 1999 | 256 | 1999 |
Predicting features of breast cancer with gene expression patterns X Lu, X Lu, ZC Wang, JD Iglehart, X Zhang, AL Richardson Breast cancer research and treatment 108, 191-201, 2008 | 252 | 2008 |
Computational prediction of associations between long non-coding RNAs and proteins Q Lu, S Ren, M Lu, Y Zhang, D Zhu, X Zhang, T Li BMC genomics 14, 1-10, 2013 | 238 | 2013 |
Genome-wide association analysis of blood-pressure traits in African-ancestry individuals reveals common associated genes in African and non-African populations N Franceschini, E Fox, Z Zhang, TL Edwards, MA Nalls, YJ Sung, ... The American Journal of Human Genetics 93 (3), 545-554, 2013 | 238 | 2013 |
Precise temporal regulation of alternative splicing during neural development SM Weyn-Vanhentenryck, H Feng, D Ustianenko, R Duffié, Q Yan, ... Nature communications 9 (1), 2189, 2018 | 213 | 2018 |
Kernel nearest-neighbor algorithm K Yu, L Ji, X Zhang Neural Processing Letters 15, 147-156, 2002 | 197 | 2002 |