-updating in progress-<\/p>\n\n\n\n
Chelsea J.-T. Ju, Ruirui Li, Zhengliang Wu, Jyun-Yu Jiang, Zhao Yang and Wei Wang. Fleximer: Accurate Quantification of RNA-Seq via Variable-Length k-mers<\/a>. In proceedings of The 8th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, <\/em>2017.<\/p>\n\n\n\n Wei Wang, Brian Kleakley, Chelsea J.-T Ju, Vincent Kyi, Patrick Tan, Howard Choi, Xinxin Huang, Yichao Zhou, Justin Wood, Din Wang, Alex Bui and Peipei Ping. Aztec: A Platform to Render Biomedical Software Findable, Accessible, Interoperable, and Reusable<\/a>. CoRR abs\/1706.06087, <\/em>2017. <\/p>\n\n\n\n Chealsea J.-T Ju*, Jyun-Yu Jiang*, Ruirui Li, Zeyu Li and Wei Wang. TahcoRoll: An Efficient Approach for Signature Profiling in Genomic Data through Variable-Length K-mers.<\/a> Technical report<\/em>, 2017.<\/p>\n\n\n\n Chelsea J.-T Ju, Zhuangtian Zhao and Wei Wang. Efficient Approach to correct read alignment for pseudogene abundance estimates. <\/a>IEEE\/ACM transactions on Computation Biology and Bioinformatics (TCBB), 14(3): 522-533<\/em>, 2017.<\/p>\n\n\n\n Seungbae Kim, Jinyoung Han, Seunghyun Yoo, Mario Gerla. “How Are Social Influencers Connected in Instagram?” <\/a>Social Informatics (Socinfo)<\/em> 2017, Oxford UK, September 2017.<\/p>\n\n\n\n Nicholas J. Matiasz, Justin Wood, Wei Wang, Alcino J. Silva and William Hsu. Computer-Aided Experiment Planning toward Casual Discovery in Neuroscience<\/a>. Front. Neuroinform.<\/em> 2017. <\/p>\n\n\n\n Seungbae Kim, Mario Gerla “Socio-Geo: Social Network Routing Protocol in Delay Tolerant Networks,”<\/a> ICNC<\/em> 2017.<\/p>\n\n\n\n Jyun-Yu Jiang, Pu-Jen Cheng and Wei Wang. Open Source Repository Recommendation in Social Development in Information Retrieval<\/a> (SIGIR’ 17), ACM<\/em> 2017.<\/p>\n\n\n\n Justin Wood, Patrick Tan, Wei Wang, Croey W. Arnold. Source-LDA: Enhancing Probabilistic Topic Models Using Prior Knowledge Sources.<\/a> ICDE<\/em> 2017: 411-422 <\/p>\n\n\n\n Mohammad Arifur Rahman, Nathan LaPierre and Huzefa Rangwala. “Phenotype Prediction from Metagenomic Data Using Clustering Assembly with Multiple Instance Learning (CAMIL)<\/a>.” IEEE\/ACM transactions on computational biology and bioinformatics, Oct. 2017.<\/p>\n\n\n\n Mohammad Arifur Rahman, Nathan LaPierre, Huzefa Rangwala and Daniel Barbara. “Metagenome sequence clustering with hash-based canopies<\/a>.” Journal of bioinformatics and computational biology, vol. 15, no. 6, pp. 1740006, <\/em>Oct. 2017. <\/p>\n\n\n\n Nicholas J. Matiasz, Justin Wood, Wei Wang, Alcino J. Silva and William Hsu. Translating literature into casual graphs: Toward automated experiment selection<\/a>. BIBM 2017: 573-576<\/p>\n\n\n\n <\/p>\n\n\n\n <\/p>\n","protected":false},"excerpt":{"rendered":" -updating in progress- Chelsea J.-T. Ju, Ruirui Li, Zhengliang Wu, Jyun-Yu Jiang, Zhao Yang and Wei Wang. Fleximer: Accurate Quantification of RNA-Seq via Variable-Length k-mers. In proceedings of The 8th … Continue reading Publications in 2017<\/span>