Fengzhu Sun
Cited by
Cited by
Inferring domain–domain interactions from protein–protein interactions
M Deng, S Mehta, F Sun, T Chen
Genome research 12 (10), 1540-1548, 2002
Correlation detection strategies in microbial data sets vary widely in sensitivity and precision
LCX Weiss, Sophie, Will Van Treuren, Catherine Lozupone, Karoline Faust ...
The ISME Journal. 10, 1669–1681, 2016
Marine bacterial, archaeal and protistan association networks reveal ecological linkages
JA Steele, PD Countway, L Xia, PD Vigil, JM Beman, DY Kim, CET Chow, ...
The ISME journal 5 (9), 1414-1425, 2011
Prediction of protein function using protein-protein interaction data
M Deng, K Zhang, S Mehta, T Chen, F Sun
Journal of Computational Biology 10 (6), 947-960, 2003
VirFinder: a novel k-mer based tool for identifying viral sequences from assembled metagenomic data.
J Ren, NA Ahlgren, YY Lu, JA Fuhrman, FZ Sun
Microbiome 5 (1), 69, 2017
A dynamic programming algorithm for haplotype block partitioning
K Zhang, M Deng, T Chen, MS Waterman, F Sun
Proceedings of the National Academy of Sciences 99 (11), 7335-7339, 2002
Taq DNA polymerase slippage mutation rates measured by PCR and quasi‐likelihood analysis:(CA/GT) n and (A/T) n microsatellites
D Shinde, Y Lai, F Sun, N Arnheim
Nucleic acids research 31 (3), 974-980, 2003
Haplotype block structure and its applications to association studies: power and study designs
K Zhang, P Calabrese, M Nordborg, F Sun
The American Journal of Human Genetics 71 (6), 1386-1394, 2002
Identifying viruses from metagenomic data using deep learning
J Ren, K Song, C Deng, NA Ahlgren, JA Fuhrman, Y Li, X Xie, R Poplin, ...
Quantitative Biology 8 (1), 64-77, 2020
Identifying viruses from metagenomic data by deep learning
J Ren, K Song, C Deng, NA Ahlgren, JA Fuhrman, Y Li, X Xie, F Sun
arXiv preprint arXiv:1806.07810, 2018
The relationship between microsatellite slippage mutation rate and the number of repeat units
Y Lai, F Sun
Molecular biology and evolution 20 (12), 2123-2131, 2003
Local similarity analysis reveals unique associations among marine bacterioplankton species and environmental factors
Q Ruan, D Dutta, MS Schwalbach, JA Steele, JA Fuhrman, F Sun
Bioinformatics 22 (20), 2532-2538, 2006
A critical assessment of Mus musculus gene function prediction using integrated genomic evidence
L Peņa-Castillo, M Tasan, CL Myers, H Lee, T Joshi, C Zhang, Y Guan, ...
Genome Biol 9 (Suppl 1), S2, 2008
Clustering of Caucasian Leber hereditary optic neuropathy patients containing the 11778 or 14484 mutations on an mtDNA lineage.
MD Brown, F Sun, DC Wallace
American journal of human genetics 60 (2), 381, 1997
Alignment-free oligonucleotide frequency dissimilarity measure improves prediction of hosts from metagenomically-derived viral sequences
NA Ahlgren, J Ren, YY Lu, JA Fuhrman, F Sun
Nucleic Acids Research 45 (1), 39-53, 2017
CancerLocator: non-invasive cancer diagnosis and tissue-of-origin prediction using methylation profiles of cell-free DNA
S Kang, Q Li, Q Chen, Y Zhou, S Park, G Lee, B Grimes, K Krysan, M Yu, ...
Genome Biology 18 (1), 53, 2017
Assessment of the reliability of protein-protein interactions and protein function prediction
M Deng, F Sun, T Chen
Proc. of Pacific Symposium Biocomputing, Grand Wailea, Maui, Hawaii, 140-151, 2002
Alignment-free sequence comparison (I): statistics and power
G Reinert, D Chew, F Sun, MS Waterman
Journal of Computational Biology 16 (12), 1615-1634, 2009
Haplotype block partitioning and tag SNP selection using genotype data and their applications to association studies
K Zhang, ZS Qin, JS Liu, T Chen, MS Waterman, F Sun
Genome Research 14 (5), 908-916, 2004
An integrated probabilistic model for functional prediction of proteins
M Deng, T Chen, F Sun
Journal of Computational Biology 11 (2-3), 463-475, 2004
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