| Fast protein loop sampling and structure prediction using distance-guided sequential chain-growth Monte Carlo method K Tang, J Zhang, J Liang PLoS computational biology 10 (4), e1003539, 2014 | 68 | 2014 |
| RNAseq analysis of hippocampal microglia after kainic acid-induced seizures DB Bosco, J Zheng, Z Xu, J Peng, UB Eyo, K Tang, C Yan, J Huang, ... Molecular brain 11, 1-13, 2018 | 41 | 2018 |
| High-resolution structure prediction of β-barrel membrane proteins W Tian, M Lin, K Tang, J Liang, H Naveed Proceedings of the National Academy of Sciences 115 (7), 1511-1516, 2018 | 29 | 2018 |
| Novel role for γ-catenin in the regulation of cancer cell migration via the induction of hepatocyte growth factor activator inhibitor type 1 (HAI-1) M Sechler, S Borowicz, M Van Scoyk, S Avasarala, S Zerayesus, ... Journal of Biological Chemistry 290 (25), 15610-15620, 2015 | 28 | 2015 |
| K-homology splicing regulatory protein (KSRP) promotes post-transcriptional destabilization of Spry4 transcripts in non-small cell lung cancer RK Bikkavilli, SA Zerayesus, M Van Scoyk, L Wilson, PY Wu, A Baskaran, ... Journal of Biological Chemistry 292 (18), 7423-7434, 2017 | 26 | 2017 |
| Probing the modulated formation of gold nanoparticles–beta-lactoglobulin corona complexes and their applications J Yang, B Wang, Y You, WJ Chang, K Tang, YC Wang, W Zhang, F Ding, ... Nanoscale 9 (45), 17758-17769, 2017 | 23 | 2017 |
| Conformational sampling and structure prediction of multiple interacting loops in soluble and β-barrel membrane proteins using multi-loop distance-guided chain … K Tang, SWK Wong, JS Liu, J Zhang, J Liang Bioinformatics 31 (16), 2646-2652, 2015 | 20 | 2015 |
| Distance-Guided Forward and Backward Chain-Growth Monte Carlo Method for Conformational Sampling and Structural Prediction of Antibody CDR-H3 Loops K Tang, J Zhang, J Liang Journal of Chemical Theory and Computation, 2016 | 6 | 2016 |
| Transcriptional Similarity in Couples Reveals the Impact of Shared Environment and Lifestyle on Gene Regulation through Modified Cytosines K Tang, W Zhang PeerJ 4, e2123, 2016 | 5 | 2016 |
| Abstract A04: Differential DNA methylation and network analysis in African American breast cancer K Yu, A Steppi, Y Xu, K Tang, J Zhang Cancer Epidemiology, Biomarkers & Prevention 25 (3_Supplement), A04-A04, 2016 | 1 | 2016 |
| Thermodynamics of unfolding mechanisms of mouse mammary tumor virus pseudoknot from a coarse-grained loop-entropy model K Tang, J Roca, R Chen, A Ansari, J Liang Journal of Biological Physics 48 (2), 129-150, 2022 | | 2022 |
| Differential gene expression analysis reveals pathways involved in anti-pd-1 therapy response prediction YH Cheung, J Wu, W Huang, C Yin, K Linder, K Parikh, K Tang, C Kasbek, ... Cancer Research 79 (13_Supplement), 4994-4994, 2019 | | 2019 |
| Efficient and accurate NGS approach for liquid biopsy detection and monitoring K Tang, C Kasbek, Y Song, Q Song, S Chen, N Almalki, X Zhang, ... Cancer Research 78 (13_Supplement), 4575-4575, 2018 | | 2018 |
| RegCAR-TTM: Enabling next-generation CAR-T therapy X Zhang, K Tang, Q Song, S Chen, christopher Kasbek, T Wang, J Huang Cancer Research 78 (13_Supplement), 3579-3579, 2018 | | 2018 |
| An integrated pipeline for TCGA data analysis K Yu, Y Xu, K Tang, A Steppi, J Zhou, Z Ouyang, J Zhang Cancer Research 76 (14_Supplement), 5275-5275, 2016 | | 2016 |
| Abstract A05: Biological factors associated with cancer health disparity-a high-throughput approach using big data K Yu, Y Xu, K Tang, A Steppi, J Zhang Cancer Epidemiology, Biomarkers & Prevention 25 (3_Supplement), A05-A05, 2016 | | 2016 |
Jinfeng ZhangFlorida State Universitystat.fsu.edu의 이메일 확인됨
