Browse by Publication

11

Gong, H and Zuliani, P and Komuravelli, A and Faeder, JR and Clarke, EM (2010) Analysis and verification of the HMGB1 signaling pathway. BMC Bioinformatics, 11 (SUPPL.).

12

Cresawn, SG and Bogel, M and Day, N and Jacobs-Sera, D and Hendrix, RW and Hatfull, GF (2011) Phamerator: A bioinformatic tool for comparative bacteriophage genomics. BMC Bioinformatics, 12.

Lustgarten, JL and Visweswaran, S and Gopalakrishnan, V and Cooper, GF (2011) Application of an efficient Bayesian discretization method to biomedical data. BMC Bioinformatics, 12.

Day, RS and McDade, KK and Chandran, UR and Lisovich, A and Conrads, TP and Hood, BL and Kolli, VSK and Kirchner, D and Litzi, T and Maxwell, GL (2011) Identifier mapping performance for integrating transcriptomics and proteomics experimental results. BMC Bioinformatics, 12.

Jiang, X and Neapolitan, RE and Barmada, MM and Visweswaran, S (2011) Learning genetic epistasis using Bayesian network scoring criteria. BMC Bioinformatics, 12.

Osmanbeyoglu, HU and Ganapathiraju, MK (2011) N-gram analysis of 970 microbial organisms reveals presence of biological language models. BMC Bioinformatics, 12.

Achuthan, Srisairam and Chung, Bong and Ghosh, Preetam and Rangachari, Vijayaraghavan and Vaidya, Ashwin (2011) A modified Stokes-Einstein equation for Aβ aggregation. BMC Bioinformatics, 12 (Suppl ). S13 - S13. ISSN 1471-2105

13

Wang, X and Lin, Y and Song, C and Sibille, E and Tseng, GC (2012) Detecting disease-associated genes with confounding variable adjustment and the impact on genomic meta-analysis: With application to major depressive disorder. BMC Bioinformatics, 13 (1).

14

Chang, LC and Lin, HM and Sibille, E and Tseng, GC (2013) Meta-analysis methods for combining multiple expression profiles: Comparisons, statistical characterization and an application guideline. BMC Bioinformatics, 14 (1).

15

Liao, SG and Lin, Y and Kang, DD and Chandra, D and Bon, J and Kaminski, N and Sciurba, FC and Tseng, GC (2014) Missing value imputation in high-dimensional phenomic data: Imputable or not, and how? BMC Bioinformatics, 15 (1).

Wenskovitch, JE and Harris, LA and Tapia, JJ and Faeder, JR and Marai, GE (2014) MOSBIE: A tool for comparison and analysis of rule-based biochemical models. BMC Bioinformatics, 15 (1).

Coarfa, C and Pichot, CS and Jackson, A and Tandon, A and Amin, V and Raghuraman, S and Paithankar, S and Lee, AV and McGuire, SE and Milosavljevic, A (2014) Analysis of interactions between the epigenome and structural mutability of the genome using Genboree workbench tools. BMC Bioinformatics, 15. 1 - 12.

Katz, JP and Pipas, JM (2014) SummonChimera infers integrated viral genomes with nucleotide precision from NGS data. BMC Bioinformatics, 15 (1).

16

Baron, RV and Conley, YP and Gorin, MB and Weeks, DE (2015) dbVOR: A database system for importing pedigree, phenotype and genotype data and exporting selected subsets. BMC Bioinformatics, 16 (1).

Hussain, F and Langmead, CJ and Mi, Q and Dutta-Moscato, J and Vodovotz, Y and Jha, SK (2015) Automated parameter estimation for biological models using Bayesian statistical model checking. BMC Bioinformatics, 16 (17).

Ogoe, HA and Visweswaran, S and Lu, X and Gopalakrishnan, V (2015) Knowledge transfer via classification rules using functional mapping for integrative modeling of gene expression data. BMC Bioinformatics, 16 (1).

17

Sedgewick, AJ and Shi, I and Donovan, RM and Benos, PV (2016) Learning mixed graphical models with separate sparsity parameters and stability-based model selection. BMC Bioinformatics, 17 (5).

Zeng, Z and Jiang, X and Neapolitan, R (2016) Discovering causal interactions using Bayesian network scoring and information gain. BMC Bioinformatics, 17 (1).

Chang, LC and Li, B and Fang, Z and Vrieze, S and McGue, M and Iacono, WG and Tseng, GC and Chen, W (2016) A computational method for genotype calling in family-based sequencing data. BMC Bioinformatics, 17 (1).

Tseytlin, E and Mitchell, K and Legowski, E and Corrigan, J and Chavan, G and Jacobson, RS (2016) NOBLE - Flexible concept recognition for large-scale biomedical natural language processing. BMC Bioinformatics, 17 (1).

Chen, L and Cai, C and Chen, V and Lu, X (2016) Learning a hierarchical representation of the yeast transcriptomic machinery using an autoencoder model. BMC Bioinformatics, 17 (1).

Cai, B and Jiang, X (2016) Computational methods for ubiquitination site prediction using physicochemical properties of protein sequences. BMC Bioinformatics, 17 (1).