| Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis ZH You, YK Lei, L Zhu, J Xia, B Wang BMC bioinformatics 14 (S8), S10, 2013 | 321 | 2013 |
| BRAF L597 mutations in melanoma are associated with sensitivity to MEK inhibitors KB Dahlman, J Xia, K Hutchinson, C Ng, D Hucks, P Jia, M Atefi, Z Su, ... Cancer Discovery 2 (9), 791-797, 2012 | 240 | 2012 |
| APIS: accurate prediction of hot spots in protein interfaces by combining protrusion index with solvent accessibility JF Xia, XM Zhao, J Song, DS Huang BMC bioinformatics 11 (1), 174, 2010 | 223 | 2010 |
| Automatic classification for field crop insects via multiple-task sparse representation and multiple-kernel learning C Xie, J Zhang, R Li, J Li, P Hong, J Xia, P Chen Computers and Electronics in Agriculture 119, 123-132, 2015 | 182 | 2015 |
| Prediction of Protein-Protein Interactions from Protein Sequence Using Local Descriptors L Yang, JF Xia, J Gui Protein and Peptide Letters 17 (9), 1085-1090, 2010 | 171 | 2010 |
| Sequence-based prediction of protein-protein interactions by means of rotation forest and autocorrelation descriptor JF Xia, K Han, DS Huang Protein and Peptide Letters 17 (1), 137-145, 2010 | 166 | 2010 |
| Application of next generation sequencing to human gene fusion detection: computational tools, features and perspectives Q Wang, J Xia, P Jia, W Pao, Z Zhao Briefings in Bioinformatics, 2012 | 131 | 2012 |
| MET exon 14 skipping in non-small cell lung cancer RS Heist, HS Shim, S Gingipally, M Mino-Kenudson, L Le, JF Gainor, ... The oncologist 21 (4), 481, 2016 | 125 | 2016 |
| A meta-analysis of somatic mutations from next generation sequencing of 241 melanomas: a road map for the study of genes with potential clinical relevance J Xia, P Jia, KE Hutchinson, KB Dahlman, D Johnson, J Sosman, W Pao, ... Molecular cancer therapeutics 13 (7), 1918-1928, 2014 | 123 | 2014 |
| Investigating the relationship of DNA methylation with mutation rate and allele frequency in the human genome J Xia, L Han, Z Zhao BMC Genomics 13 (Suppl 8), S7, 2012 | 104 | 2012 |
| Predicting protein–protein interactions from protein sequences using meta predictor JF Xia, XM Zhao, DS Huang Amino acids 39 (5), 1595-1599, 2010 | 95 | 2010 |
| Predicting protein–protein interactions from sequence using correlation coefficient and high-quality interaction dataset MG Shi, JF Xia, XL Li, DS Huang Amino acids 38 (3), 891-899, 2010 | 91 | 2010 |
| BBPpred: Sequence-Based Prediction of Blood-Brain Barrier Peptides with Feature Representation Learning and Logistic Regression R Dai, W Zhang, W Tang, E Wynendaele, Q Zhu, Y Bin, B De Spiegeleer, ... Journal of Chemical Information and Modeling 61 (1), 525-534, 2021 | 69 | 2021 |
| Comparison and integration of computational methods for deleterious synonymous mutation prediction N Cheng, M Li, L Zhao, B Zhang, Y Yang, CH Zheng, J Xia Briefings in Bioinformatics 21 (3), 970-981, 2020 | 65 | 2020 |
| Next-generation sequencing of paired tyrosine kinase inhibitor-sensitive and-resistant EGFR mutant lung cancer cell lines identifies spectrum of DNA changes associated with … P Jia, H Jin, CB Meador, J Xia, K Ohashi, L Liu, V Pirazzoli, KB Dahlman, ... Genome research 23 (9), 1434-1445, 2013 | 65 | 2013 |
| GAERF: predicting lncRNA-disease associations by graph auto-encoder and random forest QW Wu, JF Xia, JC Ni, CH Zheng Briefings in Bioinformatics, 2021 | 64 | 2021 |
| Prediction of circRNA-disease associations based on inductive matrix completion M Li, M Liu, Y Bin, J Xia BMC medical genomics 13 (5), 1-13, 2020 | 64 | 2020 |
| Functional complementation between transcriptional methylation regulation and post-transcriptional microRNA regulation in the human genome Z Su, J Xia, Z Zhao BMC Genomics 12 (Suppl 5), S15, 2011 | 64 | 2011 |
| Do cancer proteins really interact strongly in the human protein–protein interaction network? J Xia, J Sun, P Jia, Z Zhao Computational biology and chemistry 35 (3), 121-125, 2011 | 50 | 2011 |
| Identifying multi-functional bioactive peptide functions using multi-label deep learning W Tang, R Dai, W Yan, W Zhang, Y Bin, E Xia, J Xia Briefings in Bioinformatics, 2021 | 46 | 2021 |
Zhongming ZhaoUniversity of Texas Health Science Center at HoustonVerified email at uth.tmc.edu
