Tianming Wang

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Weiping Wang13
Jianping Ge9
Feng-Zhen Zhao9
Donatella Merlini8
Renzo Sprugnoli8
14Feng-Zhen Zhao
13Weiping Wang
10Anthony Sofo
9Qi Dai
9Jianping Ge

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1998
2017

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Generalizations of Some Identities Involving the Fibonacci Numbers
The generalized Fibonacci and Lucas numbers are defined by a n-B n ^ ^ z f-> K = ""+fi n (i) where a = P+ ^ P 2 ~ 4q , (3 = P ~^ P 2 ~ 4q , p > 0, q^O, and p 2-4q > 0. It is obvious that {£/ " } and {VJ are the usual Fibonacci and Lucas sequences {FJ and {LJ when p =-q = l. Recently, for the Fibonacci numbers, Zhang established the following identities in… (More)
High-accuracy prediction of protein structural class for low-similarity sequences based on predicted secondary structure.
Information on the structural classes of proteins has been proven to be important in many fields of bioinformatics. Prediction of protein structural class for low-similarity sequences is a challenge problem. In this study, 11 features (including 8 re-used features and 3 newly-designed features) are rationally utilized to reflect the general contents and… (More)
Generalized Riordan arrays
In this paper, we generalize the concept of Riordan array. A generalized Riordan array with respect to c n is an infinite, lower triangular array determined by the pair (g(t), f (t)) and has the generic element d n,k = [t n /c n ]g(t)(f (t)) k /c k , where c n is a fixed sequence of non-zero constants with c 0 = 1. We demonstrate that the generalized… (More)
A simple k-word interval method for phylogenetic analysis of DNA sequences.
In this study, the normalized k-word average interval distance is proposed to extract phylogenetic information from DNA sequences. The phylogenetic trees of 30 mammalian species based on Euclidean distance measure are reconstructed with k ranging from 2 to 9. Comparison of our results with other methods shows that our method is efficient and powerful for… (More)
A novel protein structural classes prediction method based on predicted secondary structure.
Knowledge of structural classes plays an important role in understanding protein folding patterns. In this paper, features based on the predicted secondary structure sequence and the corresponding E-H sequence are extracted. Then, an 11-dimensional feature vector is selected based on a wrapper feature selection algorithm and a support vector machine (SVM).… (More)
Genome analysis with the conditional multinomial distribution profile.
The focus of the research is on the analysis of genome sequences. Based on the inter-nucleotide distance sequence, we propose the conditional multinomial distribution profile for the complete genomic sequence. These profiles can be used to define a very simple, computationally efficient, alignment-free, distance measure that reflects the evolutionary… (More)
Identities on Bell polynomials and Sheffer sequences
In this paper, we study exponential partial Bell polynomials and Sheffer sequences. Two new characterizations of Sheffer sequences are presented, which indicate the relations between Sheffer sequences and Riordan arrays. Several general identities involving Bell polynomials and Sheffer sequences are established, which reduce to some elegant identities for… (More)
Large scale gene expression profiling during intestine and body wall regeneration in the sea cucumber Apostichopus japonicus.
Sea cucumbers are fascinating invertebrate organisms because of their ability to rapidly regenerate many organs and appendages. In this study 454 cDNA sequencing method was used to characterize transcriptome in Apostichopus japonicus in order to investigate genes that are active in regeneration. Based on sequence similarity with known genes, our analysis… (More)