|Signatures of T cell dysfunction and exclusion predict cancer immunotherapy response|
P Jiang, S Gu, D Pan, J Fu, A Sahu, X Hu, Z Li, N Traugh, X Bu, B Li, J Liu, ...
Nature medicine 24 (10), 1550-1558, 2018
|Topological analysis reveals a PD-L1-associated microenvironmental niche for Reed-Sternberg cells in Hodgkin lymphoma|
CD Carey, D Gusenleitner, M Lipschitz, MGM Roemer, EC Stack, E Gjini, ...
Blood 130 (22), 2420-2430, 2017
|Reconstruction of enhancer–target networks in 935 samples of human primary cells, tissues and cell lines|
Q Cao, C Anyansi, X Hu, L Xu, L Xiong, W Tang, MTS Mok, C Cheng, ...
Nature Genetics 201, 7, 2017
|Machine Learning Competition in Immunology–Prediction of HLA class I molecules|
GL Zhang, HR Ansari, P Bradley, GC Cawley, T Hertz, X Hu, N Jojic, ...
Journal of Immunological Methods: In press (Impact factor: 2.340), 2011
|Improved prediction of RNA secondary structure by integrating the free energy model with restraints derived from experimental probing data|
Y Wu, B Shi, X Ding, T Liu, X Hu, KY Yip, ZR Yang, DH Mathews, ZJ Lu
Nucleic acids research 43 (15), 7247-7259, 2015
|Mass cytometry of Hodgkin lymphoma reveals a CD4+ regulatory T-cell–rich and exhausted T-effector microenvironment|
FZ Cader, RCJ Schackmann, X Hu, K Wienand, R Redd, B Chapuy, ...
Blood, The Journal of the American Society of Hematology 132 (8), 825-836, 2018
|Sequential regulatory loops as key gatekeepers for neuronal reprogramming in human cells|
Y Xue, H Qian, J Hu, B Zhou, Y Zhou, X Hu, A Karakhanyan, Z Pang, ...
Nature neuroscience 19 (6), 807-815, 2016
|Landscape of B cell immunity and related immune evasion in human cancers|
X Hu, J Zhang, J Wang, J Fu, T Li, X Zheng, B Wang, S Gu, P Jiang, J Fan, ...
Nature genetics 51 (3), 560-567, 2019
|A Bayesian regression approach to the prediction of MHC-II binding affinity|
W Zhang, J Liu, YQ Niu, L Wang, X Hu
Computer methods and programs in biomedicine 92 (1), 1-7, 2008
|Identification of specificity determining residues in peptide recognition domains using an information theoretic approach applied to large-scale binding maps|
K Yip, L Utz, S Sitwell, X Hu, S Sidhu, B Turk, M Gerstein, P Kim
BMC biology 9 (1), 53, 2011
|MetaMHC: a meta approach to predict peptides binding to MHC molecules|
X Hu, W Zhou, K Udaka, H Mamitsuka, S Zhu
Nucleic Acids Research 38 (suppl 2), W474-W479, 2010
|A common set of distinct features that characterize noncoding RNAs across multiple species|
L Hu, C Di, M Kai, YCT Yang, Y Li, Y Qiu, X Hu, KY Yip, MQ Zhang, ZJ Lu
Nucleic acids research 43 (1), 104-114, 2015
|Ensemble approaches for improving HLA Class I-peptide binding prediction|
X Hu, H Mamitsuka, S Zhu
Journal of Immunological Methods, 2010
|Predicting essential proteins by integrating orthology, gene expressions, and PPI networks|
X Zhang, W Xiao, X Hu
PloS one 13 (4), e0195410, 2018
|The RNA-binding protein ROD1/PTBP3 cotranscriptionally defines AID-loading sites to mediate antibody class switch in mammalian genomes|
J Chen, Z Cai, M Bai, X Yu, C Zhang, C Cao, X Hu, L Wang, R Su, ...
Cell Research 28 (10), 981-995, 2018
|Analysis of sequencing data for probing RNA secondary structures and protein–RNA binding in studying posttranscriptional regulations|
X Hu, Y Wu, ZJ Lu, KY Yip
Briefings in bioinformatics 17 (6), 1032-1043, 2016
|A novel method for discovering local spatial clusters of genomic regions with functional relationships from DNA contact maps|
X Hu, CH Shi, KY Yip
Bioinformatics 32 (12), i111-i120, 2016
|BiodMHC: an online server for the prediction of MHC class II-peptide binding affinity|
L Wang, D Pan, X Hu, J Xiao, Y Gao, H Zhang, Y Zhang, J Liu, S Zhu
Journal of Genetics and Genomics 36 (5), 289-296, 2009
|Computational identification of protein binding sites on RNAs using high-throughput RNA structure-probing data|
X Hu, TKF Wong, ZJ Lu, TF Chan, TCK Lau, SM Yiu, KY Yip
Bioinformatics 30 (8), 1049-1055, 2014
|Immune receptor repertoires in pediatric and adult acute myeloid leukemia|
J Zhang, X Hu, J Wang, AD Sahu, D Cohen, L Song, Z Ouyang, J Fan, ...
Genome medicine 11 (1), 1-11, 2019