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Heterogeneous data fusion for predicting mild cognitive impairment conversion Journal article
Shen, Heng Tao, Zhu, Xiaofeng, Zhang, Zheng, Wang, Shui Hua, Chen, Yi, Xu, Xing, Shao, Jie. Heterogeneous data fusion for predicting mild cognitive impairment conversion[J]. Information Fusion, 2021, 66, 54-63.
Authors:  Shen, Heng Tao;  Zhu, Xiaofeng;  Zhang, Zheng;  Wang, Shui Hua;  Chen, Yi; et al.
Favorite | TC[WOS]:63 TC[Scopus]:65  IF:14.7/16.1 | Submit date：2021/12/07
Mild Cognitive Impairment  Transfer Learning  Feature Selection  Sparse Learning  Alzheimer's Disease  
Structure of human steroid 5α-reductase 2 with the anti-androgen drug finasteride Journal article
Xiao, Qingpin, Wang, Lei, Supekar, Shreyas, Shen, Tao, Liu, Heng, Ye, Fei, Huang, Junzhou, Fan, Hao, Wei, Zhiyi, Zhang, Cheng. Structure of human steroid 5α-reductase 2 with the anti-androgen drug finasteride[J]. Nature Communications, 2020, 11(1).
Authors:  Xiao, Qingpin;  Wang, Lei;  Supekar, Shreyas;  Shen, Tao;  Liu, Heng; et al.
Favorite | TC[WOS]:52 TC[Scopus]:59  IF:14.7/16.1 | Submit date：2021/12/06
Genetic risk of extranodal natural killer T-cell lymphoma: a genome-wide association study in multiple populations Journal article
Lin G.-W., Xu C., Chen K., Huang H.-Q., Chen J., Song B., Chan J.K.C., Li W., Liu W., Shih L.-Y., Chuang W.-Y., Kim W.S., Tan W., Peng R.-J., Laurensia Y., Cheah D.M.Z., Huang D., Cheng C.L., Su Y.-J., Tan S.-Y., Ng S.-B., Tang T.P.L., Han K., Wang V.Y.-F., Jia W.-H., Pei Z., Li Y.-J., Gao S., Shi Y., Hu Z., Zhang F., Zhang B., Zeng Y.-X., Shen H., He L., Ong C.K., Lim S.T., Chanock S., Kwong Y.-L., Lin D., Rothman N., Khor C.C., Lan Q., Bei J.-X., Au W.-Y., Chiu B., Fan L., Li Z., LAM T.H., Liang R., Yeh S.-P., Xu J., Ip D.K.M., Li G., Xu G., Wang X., Bai O., Cai Q.-Q., Xia Y., Chen J.-R., Luo C.-L., Xiong X.-Y., Zeng Y., Wei P.-P., Liu C.-J., Liu Y.-X., Cao Y.-L., He S., Liu Y., Ha J.C.H., Khoo L.P., Kee R.X., Tan J., Liu Y., Zhang F., Feng Y., Rao H., Chng W.J., Chan J.Y.S., Somasundaram N.D., Tao M., Ras M.F.B.H., Yeoh K.-W., Goh Y.T., Ong S.Y., Grigoropoulos N.F., Wong E.K.Y., Pang J.W.L., Lim J.Q., Chia B.K.H., Kim S.J., Yoon S.E., Choi S., Kuo C.-Y., Chen T.-Y., Su Y.-C., Huang W.-T., Lee M.-Y., Yao W., Ngan K.-C., Liu H., Lee H., Yip S.-F., Liu J., Li J., Rabkin C.S., Berndt S., Bassig B., Hu W., Zhao M., Li Y., Zhai Q., Shao Z., Qiu L., Wang J., Xu F.-P., Chen L., Hou Y., Xu S., Huang Z., Xie M., Li M., Zhong S., Zhang Y., Gu D., Wang X., Foo J.N., Li Z., Dai J., Sun L., Wang Z., Liu H., Zhou H., Sun Y., Koh W.-P., Heng C.-K., Hong C.S., Ahn J., Park K.H., Tin A., Gu J., Xia X., Li B., Yu X., International NKTCL Working Group. Genetic risk of extranodal natural killer T-cell lymphoma: a genome-wide association study in multiple populations[J]. The Lancet Oncology, 2020, 21(2), 306-316.
Authors:  Lin G.-W.;  Xu C.;  Chen K.;  Huang H.-Q.;  Chen J.; et al.
Favorite | TC[WOS]:49 TC[Scopus]:52  IF:41.6/42.2 | Submit date：2022/06/15