席瑞斌

主要有兩大研究方向😍：

發展新的統計理論和算法，來解決生物👍🏽、醫學、計算機領域的問題；

基因組學和生物信息學，比如研究癌基因組測序數據及單細胞測序數據等。

1. 國家重點研發計劃（2017.1－2021.12），批準號 2016YFC0207705，汙染與宏觀經濟🥬、人口健康的計量分析🦵🏼，負責 43 萬元🍖，參與

2. 國家自然科學基金重點項目 （2016.1－2020.12）🎉，批準號 71532001，大數據驅動的管理決策模型與算法，負責 32 萬🤹，參與

3. 國家自然科學基金面上項目（2015.01-2018.12），批準號 11471022🧳，基於高通量測序數據研究基因組變異的統計問題🙇🏽，60 萬，主持

4. 國家科技部 973 項目（2015.01-2019.12），批準號 2015CB856000，非結構數據的統計學習：數學基礎及算法👩🏻‍🦲，負責 58 萬元💪🏿，參與

5. 2013 年意昂体育平台－微軟聯合實驗室基金，高維數據的非線性降維，3 萬元📐，主持

6. 意昂体育平台 985 經費（2013.01-2015.12）🤚🫲🏼，癌基因組數據的統計分析，30 萬元🧑🏿‍🍼➰，主持

 1.Xia,Y., Liu, Y., Deng, M.and Xi, R.* (2018+) Detecting virus integration sites based on multiple related sequencing data by VirTect, BMC Medical Genomics,Accepted.

2.Xia, Y., Liu, Y., Deng, M.and Xi, R.* (2017) SVmine improves structural variation detection by integrative mining of predictions from multiple algorithms, Bioinformatics, 1;33(21):3348-3354.

3.Yuan, H.Xi, R.*, Chen, C.and Deng, M.* (2017) Differential network analysis via lasso penalized D-trace loss, Biometrika, 104 (4):755-770.

4.Xia, Y., Liu Y., Deng, M.and Xi, R.* (2017) Pysim-sv: a package for

simulating structural variation data with GC-biases, BCM Bioinformatics,18(Suppl 3):53.

5.Xi, R.*, Lee, S., Xia, Y., Kim, T.and Park, P.* (2016) Copy number analysis of whole-genome data using BIC-seq2 and its application to detection of cancer susceptibility variants, Nucleic Acids Research, 44(13): 6274-86.

6.Xi, R.*, Li, Y.and Hu, Y.(2015) Bayesian quantile regression based on the empirical likelihood with spike and slab priors, Bayesian Analysis,11(3):821-855.

7.Xi, R.and Lin, N.* (2015) Direct regression modelling of high-order moments in big data, Statistics and Its Interface, 9(4):445-452.

8.Yang, L., Luquette, L.J., Gehlenborg, N., Xi, R., Haseley, P.S., Hsieh, C.H.,Zhang, C., Ren, X., Protopopov, A., Chin, L., Kucherlapati, R., Lee, C.and Park P.J.* (2013) Diverse mechanisms of somatic structural variations in human cancer genomes, Cell, 153(4):919-929.

9.Xi, R., Lin, N., Chen, Y.* and Kim, Y.(2012) Compression and aggregation of Bayesian estimates for data intensive computing, Knowledge and Information Systems, 33(1):191-212.

10.Xi, R., Hadjipanayis, A.G., Luquette, L.J., Kim, T.M., Lee, E., Zhang, J.H.,Johnson, M.D., Muzny, D.M., Wheeler, D.A., Kucherlapati, R., and Park, P.* (2011) Copy number alteration detection in sequencing data using the Bayesian information criterion, Proceedings of the National Academy of Sciences, USA,108(46):E1128-1136.