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ORCIDDan He 0001
Person information
- affiliation: Shenzhen University, College of Computer Science and Software, China
- affiliation: IBM Thomas J. Watson Research, Computational Genomics Group, Yorktown Heights, NY, USA
- affiliation (PhD 2012): University of California Los Angeles, Computer Science Department, CA, USA
Other persons with the same name
- Dan He — disambiguation page
- Dan He 0002 — University of Surrey, Guildford, UK
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2010 – 2019
- 2018
[j17]Dan He, Subrata Saha, Richard Finkers
, Laxmi Parida:
Efficient algorithms for polyploid haplotype phasing. BMC Genom. 19(S2) (2018)- 2017
- [j16]Dan He, Zhanyong Wang, Laxmi Parida, Eleazar Eskin:
IPED2: Inheritance Path Based Pedigree Reconstruction Algorithm for Complicated Pedigrees. IEEE ACM Trans. Comput. Biol. Bioinform. 14(5): 1094-1103 (2017) - [c25]Dan He, Laxmi Parida:
MUSE: A Multi-locus Sampling-based Epistasis Algorithm for Quantitative Genetic Trait Prediction. PSB 2017: 426-437 - 2016
- [j15]Dan He, David Kuhn, Laxmi Parida:
Novel applications of multitask learning and multiple output regression to multiple genetic trait prediction. Bioinform. 32(12): 37-43 (2016) - [j14]Dan He, Laxmi Parida:
Does encoding matter? A novel view on the quantitative genetic trait prediction problem. BMC Bioinform. 17(S-9): 272 (2016) - [j13]Dan He, Irina Rish, David Haws, Laxmi Parida:
MINT: Mutual Information Based Transductive Feature Selection for Genetic Trait Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 13(3): 578-583 (2016) - 2015
- [j12]Abdullah N. Arslan, Dan He, Yu He, Xindong Wu:
Pattern matching with wildcards and length constraints using maximum network flow. J. Discrete Algorithms 35: 9-16 (2015) - [c24]Dan He, Laxmi Parida:
SAME: a sampling-based multi-locus epistasis algorithm for quantitative genetic trait prediction. BCB 2015: 286-295 - [c23]Dan He, Laxmi Parida:
Does encoding matter? A novel view on the quantitative genetic trait prediction problem. BIBM 2015: 123-126 - [c22]Oyetunji E. Ogundijo, Dan He, Laxmi Parida:
Performance evaluation of different encoding strategies for quantitative genetic trait prediction. ICCABS 2015: 1-6 - [c21]Dan He, Zhanyong Wang, Laxmi Parida:
MINED: An Efficient Mutual Information Based Epistasis Detection Method to Improve Quantitative Genetic Trait Prediction. ISBRA 2015: 108-124 - 2014
- [j11]Dan He, Eleazar Eskin:
IPED2X: A robust pedigree reconstruction algorithm for complicated pedigrees. J. Bioinform. Comput. Biol. 12(6) (2014) - [j10]Dan He, Douglas Stott Parker Jr.:
SemInf: A Burst-Based Semantic Influence Model for Biomedical Topic Influence. IEEE J. Biomed. Health Informatics 18(2): 508-514 (2014) - [c20]Dan He, Zhanyong Wang, Laxmi Parida, Eleazar Eskin:
IPED2: inheritance path based pedigree reconstruction algorithm for complicated pedigrees. BCB 2014: 202-210 - [c19]Dan He, Irina Rish, Laxmi Parida:
Transductive HSIC Lasso. SDM 2014: 154-162 - [i2]Dan He, Zhanyong Wang, Laxmi Parida, Eleazar Eskin:
IPED2: Inheritance Path based Pedigree Reconstruction Algorithm for Complicated Pedigrees. CoRR abs/1408.5530 (2014) - 2013
- [j9]Wen-Yun Yang, Farhad Hormozdiari, Zhanyong Wang, Dan He, Bogdan Pasaniuc, Eleazar Eskin:
Leveraging reads that span multiple single nucleotide polymorphisms for haplotype inference from sequencing data. Bioinform. 29(18): 2245-2252 (2013) - [j8]Dan He, Buhm Han, Eleazar Eskin:
Hap-seq: An Optimal Algorithm for Haplotype Phasing with Imputation Using Sequencing Data. J. Comput. Biol. 20(2): 80-92 (2013) - [j7]Dan He, Zhanyong Wang, Buhm Han, Laxmi Parida, Eleazar Eskin:
IPED: Inheritance Path-based Pedigree Reconstruction Algorithm Using Genotype Data. J. Comput. Biol. 20(10): 780-791 (2013) - [c18]Dan He, Eleazar Eskin:
IPEDX: An exact algorithm for pedigree reconstruction using genotype data. BIBM 2013: 517-520 - [c17]Dan He, Douglas Stott Parker Jr.:
Optimized retrieval algorithms for personalized content aggregation. IRI 2013: 270-277 - [c16]Dan He, Zhanyong Wang, Buhm Han, Laxmi Parida, Eleazar Eskin:
IPED: Inheritance Path Based Pedigree Reconstruction Algorithm Using Genotype Data. RECOMB 2013: 75-87 - [c15]Dan He, Douglas Stott Parker Jr.:
SemInf: A Burst-based Semantic Influence Model for Biomedical Topic Influence. SDM 2013: 548-559 - [i1]Dan He, Irina Rish, David Haws, Simon Teyssedre, Zivan Karaman, Laxmi Parida:
MINT: Mutual Information based Transductive Feature Selection for Genetic Trait Prediction. CoRR abs/1310.1659 (2013) - 2012
- [b1]Dan He:
Efficient Algorithms for Human Genetic Variation Detection using High-throughput Sequencing Techniques. University of California, Los Angeles, USA, 2012 - [c14]Dan He, Buhm Han, Eleazar Eskin:
Hap-seq: An Optimal Algorithm for Haplotype Phasing with Imputation Using Sequencing Data. RECOMB 2012: 64-78 - 2011
- [j6]Dan He, Farhad Hormozdiari, Nicholas A. Furlotte, Eleazar Eskin:
Efficient algorithms for tandem copy number variation reconstruction in repeat-rich regions. Bioinform. 27(11): 1513-1520 (2011) - [j5]Dan He, Noah Zaitlen, Bogdan Pasaniuc, Eleazar Eskin, Eran Halperin:
Genotyping common and rare variation using overlapping pool sequencing. BMC Bioinform. 12(S-6): S2 (2011) - [j4]Dan He, Xingquan Zhu, Xindong Wu:
Mining Approximate Repeating Patterns from Sequence Data with Gap Constraints. Comput. Intell. 27(3): 336-362 (2011) - [j3]Xingquan Zhu, Bin Li, Xindong Wu, Dan He, Chengqi Zhang:
CLAP: Collaborative pattern mining for distributed information systems. Decis. Support Syst. 52(1): 40-51 (2011) - [c13]Dan He, Pratima Kunwar, Eleazar Eskin, Helen Horton, Peter B. Gilbert, Tomer Hertz:
Using HLA binding prediction algorithms for epitope mapping in HIV vaccine clinical trials. BCB 2011: 594-601 - [c12]Dan He, Xingquan Zhu, Douglas Stott Parker Jr.:
How Does Research Evolve? Pattern Mining for Research Meme Cycles. ICDM 2011: 1068-1073 - [c11]Dan He, Douglas Stott Parker Jr.:
Learning the Funding Momentum of Research Projects. PAKDD (2) 2011: 532-543 - [c10]Dan He:
Mining Research Topic-Related Influence between Academia and Industry. ECML/PKDD (2) 2011: 17-31 - 2010
- [j2]Dan He, Arthur Choi, Knot Pipatsrisawat, Adnan Darwiche, Eleazar Eskin:
Optimal algorithms for haplotype assembly from whole-genome sequence data. Bioinform. 26(12): 183-190 (2010) - [j1]Dan He, Nicholas A. Furlotte, Eleazar Eskin:
Detection and reconstruction of tandemly organized de novo copy number variations. BMC Bioinform. 11(S-11): S12 (2010) - [c9]Dan He, Douglas Stott Parker Jr.:
Topic dynamics: an alternative model of bursts in streams of topics. KDD 2010: 443-452 - [c8]Dan He, Xindong Wu, Xingquan Zhu:
Rule Synthesizing from Multiple Related Databases. PAKDD (2) 2010: 201-213 - [c7]Dan He, Eleazar Eskin:
Effective Algorithms for Fusion Gene Detection. WABI 2010: 312-324
2000 – 2009
- 2009
- [c6]Dan He, Xingquan Zhu, Xindong Wu:
Approximate Repeating Pattern Mining with Gap Requirements. ICTAI 2009: 17-24 - [c5]Dan He, Xingquan Zhu, Xindong Wu:
Error Detection and Uncertainty Modeling for Imprecise Data. ICTAI 2009: 792-795 - 2008
- [c4]Xingquan Zhu, Peng Zhang, Xindong Wu, Dan He, Chengqi Zhang, Yong Shi:
Cleansing Noisy Data Streams. ICDM 2008: 1139-1144 - 2007
- [c3]Dan He, Abdullah N. Arslan, Yu He, Xindong Wu:
Iterative Refinement of Repeat Sequence Specification Using Constrained Pattern Matching. BIBE 2007: 1199-1203 - [c2]Dan He, Xindong Wu, Xingquan Zhu:
SAIL-APPROX: An Efficient On-Line Algorithm for Approximate Pattern Matching with Wildcards and Length Constraints. BIBM 2007: 151-158 - 2006
- [c1]Dan He, Xindong Wu:
Ontology-based feature weighting for biomedical literature classification. IRI 2006: 280-285
Coauthor Index
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