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Changjin Hong
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2010 – 2019
- 2015
- [j6]Hong Cai, Timothy G. Lilburn, Changjin Hong, Jianying Gu, Rui Kuang, Yufeng Wang:
Predicting and exploring network components involved in pathogenesis in the malaria parasite via novel subnetwork alignments. BMC Syst. Biol. 9(S-4): S1 (2015) - 2013
- [j5]Changjin Hong, Nathan L. Clement, Spencer Clement, Saher Sue Hammoud, Douglas T. Carrell, Bradley R. Cairns, Quinn Snell, Mark J. Clement, William Evan Johnson:
Probabilistic alignment leads to improved accuracy and read coverage for bisulfite sequencing data. BMC Bioinform. 14: 337 (2013) - [j4]Hong Cai, Changjin Hong, Timothy G. Lilburn, Armando L. Rodriguez, Sheng Chen, Jianying Gu, Rui Kuang, Yufeng Wang:
A novel subnetwork alignment approach predicts new components of the cell cycle regulatory apparatus in Plasmodium falciparum. BMC Bioinform. 14(S-12): S2 (2013) - 2012
- [j3]Hong Cai, Changjin Hong, Jianying Gu, Timothy G. Lilburn, Rui Kuang, Yufeng Wang:
Module-based subnetwork alignments reveal novel transcriptional regulators in malaria parasite Plasmodium falciparum. BMC Syst. Biol. 6(S-3): S5 (2012) - [c5]Hong Cai, Changjin Hong, Jianying Gu, Timothy G. Lilburn, Rui Kuang, Yufeng Wang:
Prediction of novel systems components in cell cycle regulation in malaria parasite by subnetwork alignments. BIBM 2012: 1-6
2000 – 2009
- 2009
- [j2]Changjin Hong, Ahmed H. Tewfik:
Heuristic Reusable Dynamic Programming: Efficient Updates of Local Sequence Alignment. IEEE ACM Trans. Comput. Biol. Bioinform. 6(4): 570-582 (2009) - 2008
- [j1]Changjin Hong, Ahmed H. Tewfik:
Efficient Updating of Biological Sequence Analyses. IEEE J. Sel. Top. Signal Process. 2(3): 365-377 (2008) - 2007
- [c4]Changjin Hong, Ahmed H. Tewfik:
Designing a tighter searching space for pairwise global sequence alignments over multiple scoring systems. EUSIPCO 2007: 733-737 - 2006
- [c3]Changjin Hong, Ahmed H. Tewfik:
Handling Updates of a Pairwise Sequence Alignment. ICASSP (2) 2006: 1104-1107 - 2005
- [c2]Changjin Hong, Ahmed H. Tewfik, David H. C. Du:
Handling updates of a biological sequence based on Hidden Markov Models. EUSIPCO 2005: 1-4 - [c1]Abed Elhamid Lawabni, Changjin Hong, David Hung-Chang Du, Ahmed H. Tewfik:
A Novel Update Propagation Module for the Data Provenance Problem: A Contemplating Vision on Realizing Data Provenance from Models to Storage. MSST 2005: 61-69
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