Yanda Li: A never-stopping pioneer, investigator and founder

Xuegong Zhang , Jin Gu

Quant. Biol. ›› 2022, Vol. 10 ›› Issue (1) : 1 -5.

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Quant. Biol. ›› 2022, Vol. 10 ›› Issue (1) : 1 -5. DOI: 10.15302/J-QB-022-0290
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Yanda Li: A never-stopping pioneer, investigator and founder

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Xuegong Zhang, Jin Gu. Yanda Li: A never-stopping pioneer, investigator and founder. Quant. Biol., 2022, 10(1): 1-5 DOI:10.15302/J-QB-022-0290

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References

[1]

LiY., ChangT. (1991) Signal Reconstruction: Theory and Applications (in chinese). Beijing: Tsinghua University Press

[2]

ZhangX.. (1994) The application of artificial neural networks in editing noisy seismic data, chapter 7. In: Soft Computing: Fuzzy Logic, Neural Networks, and Distributed Artificial Intelligence, Aminzadeh, F. and Jamshidi, M. eds. Englewood: Prentice Hall

[3]

ZhangX., LiY. (1995). Estimating reservoir’s lithological parameters from seismic data using neural network. SEG 65th Annual Meeting, Houston : USA

[4]

LuW.,, Zhang X.. (1999) Petroleum reservoir framework prediction by information fusion. In: Proc. 2nd Int. Conf. On Information Fusion, Sunnyvale, USA. pp. 1090‒1093

[5]

LuX., SunZ. R., ChenH. M. LiY. (1998). Characterizing self-similarity in bacteria DNA sequences. Phys. Rev. E Stat. Phys. Plasmas Fluids Relat. Interdiscip. Topics, 58 : 3578–3584

[6]

JiH., ZhouQ., WenF., XiaH., LuX. (2001). AsMamDB: an alternative splice database of mammals. Nucleic Acids Res., 29 : 260–263

[7]

WenF., LiF., XiaH., LuX., ZhangX. (2004). The impact of very short alternative splicing on protein structures and functions in the human genome. Trends Genet., 20 : 232–236

[8]

WangX., ZhangJ., LiF., GuJ., HeT., ZhangX. (2005). MicroRNA identification based on sequence and structure alignment. Bioinformatics, 21 : 3610–3614

[9]

XueC., LiF., HeT., LiuG. P., LiY. (2005). Classification of real and pseudo microRNA precursors using local structure-sequence features and support vector machine. BMC Bioinformatics, 6 : 310

[10]

GuJ., HeT., PeiY., LiF., WangX., ZhangJ., ZhangX. (2006). Primary transcripts and expressions of mammal intergenic microRNAs detected by mapping ESTs to their flanking sequences. Mamm. Genome, 17 : 1033–1041

[11]

GuJ., FuH., ZhangX. (2007). Identifications of conserved 7-mers in 3′-UTRs and microRNAs in Drosophila. BMC Bioinformatics, 8 : 432

[12]

WangX., ZhangX. (2008). Complicated evolutionary patterns of microRNAs in vertebrates. Sci. China C Life Sci., 51 : 552–559

[13]

WangX., GuJ., ZhangM. Q. (2008). Identification of phylogenetically conserved microRNA cis-regulatory elements across 12 Drosophila species. Bioinformatics, 24 : 165–171

[14]

XuQ., JiaY. B., ZhangB. Y., ZouK., TaoY. B., WangY. P., QiangB. Q., WuG. Y., ShenY., JiH. K. . (2004). Association study of an SNP combination pattern in the dopaminergic pathway in paranoid schizophrenia: a novel strategy for complex disorders. Mol. Psychiatry, 9 : 510–521

[15]

SunX., JiaY., ZhangX., XuQ., ShenY. (2005). Multi-locus association study of schizophrenia susceptibility genes with a posterior probability method. Sci. China C Life Sci., 48 : 263–269

[16]

SunX., ZhangZ., ZhangY., ZhangX. (2005). Multi-locus penetrance variance analysis method for association study in complex diseases. Hum. Hered., 60 : 143–149

[17]

TangW., WuX., JiangR. (2009). Epistatic module detection for case-control studies: a Bayesian model with a Gibbs sampling strategy. PLoS Genet., 5 : e1000464

[18]

WuJ., LiY. (2014). Integrating multiple genomic data to predict disease-causing nonsynonymous single nucleotide variants in exome sequencing studies. PLoS Genet., 10 : e1004237

[19]

XiaH., BiJ. (2006). Identification of alternative 5′/3′ splice sites based on the mechanism of splice site competition. Nucleic Acids Res., 34 : 6305–6313

[20]

YuanY., LiuB., XieP., ZhangM. Q., LiY., XieZ. (2015). Model-guided quantitative analysis of microRNA-mediated regulation on competing endogenous RNAs using a synthetic gene circuit. Proc. Natl. Acad. Sci. USA, 112 : 3158–3163

[21]

LiS., ZhangZ. Q., WuL. J., ZhangX. G., LiY. D. WangY. (2007). Understanding ZHENG in traditional Chinese medicine in the context of neuro-endocrine-immune network. IET Syst. Biol., 1 : 51–60

[22]

LiS., LiY., GuJ.. (2021) Principle, method and application of relationship inference based on biological network. Sci. Sin. Inform. (in Chinese),

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