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biology (general)statistics
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Bibliographies
21
1
literature retrieval and mining in bioinformatics: state of the art and challenges
2
the km-algorithm identifies regulated genes in time series expression data
3
designing efficient spaced seeds for solid read mapping
4
an overview of the statistical methods used for inferring gene regulatory networks and protein-protein interaction networks
5
in silico investigation of flavonoids as potential trypanosomal nucleoside hydrolase inhibitors
6
empirical comparison of visualization tools for larger-scale network analysis
7
tree-based methods for discovery of association between flow cytometry data and clinical endpoints
8
generation and analysis of large-scale data-driven mycobacterium tuberculosis functional networks for drug target identification
9
in silico approach for sar analysis of the predicted model of depdc1b: a novel target for oral cancer
10
testing the coding potential of conserved short genomic sequences
11
efficient serial and parallel algorithms for selection of unique oligos in est databases
12
a topological description of hubs in amino acid interaction networks
13
pathway-based feature selection algorithm for cancer microarray data
14
on the meaning of affinity limits in b-cell epitope prediction for antipeptide antibody-mediated immunity
15
a tutorial of the poisson random field model in population genetics
16
comparative genomics of ten solanaceous plastomes
17
in silico analysis of gene expression network components underlying pigmentation phenotypes in the python identified evolutionarily conserved clusters of transcription factor binding sites
18
erem: parameter estimation and ancestral reconstruction by expectation-maximization algorithm for a probabilistic model of genomic binary characters evolution
19
brasero: a resource for benchmarking rna secondary structure comparison algorithms
20
identification of robust pathway markers for cancer through rank-based pathway activity inference
21
an efficient approach in analysis of dna base calling using neural fuzzy model