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Computer Simulation Studies in Condensed-Matter Physics IV: Proceedings of the Fourth Workshop, Athens, GA, USA, February 18–22, 1991
Computer Simulation Studies in Condensed-Matter Physics IV: Proceedings of the Fourth Workshop, Athens, GA, USA, February 18–22, 1991
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Computer Simulation Studies in Condensed-Matter Physics IV: Proceedings of the Fourth Workshop, Athens, GA, USA, February 18–22, 1991

Landau, David P ; Mon, K. K ; Schüttler, Heinz-Bernd Landau, David P. ; Mon, K. K. ; Schüttler, Heinz-Bernd

Berlin, Heidelberg: Springer Berlin Heidelberg 1993

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2
Rule-based multi-scale simulation for drug effect pathway analysis
Rule-based multi-scale simulation for drug effect pathway analysis
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Rule-based multi-scale simulation for drug effect pathway analysis

Hwang, Woochang ; Hwang, Yongdeuk ; Lee, Sunjae ; Lee, Doheon

BMC medical informatics and decision making, 2013, Vol.13 Suppl 1 (Suppl 1), p.S4-S4, Article S4 [Periódico revisado por pares]

England: BioMed Central

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3
AllerTOP--a server for in silico prediction of allergens
AllerTOP--a server for in silico prediction of allergens
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AllerTOP--a server for in silico prediction of allergens

Dimitrov, Ivan ; Flower, Darren R ; Doytchinova, Irini

BMC bioinformatics, 2013-04, Vol.14 Suppl 6 (Suppl 6), p.S4-S4, Article S4 [Periódico revisado por pares]

England: BioMed Central

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4
Stability of the core domain of p53: insights from computer simulations
Stability of the core domain of p53: insights from computer simulations
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Stability of the core domain of p53: insights from computer simulations

Madhumalar, Arumugam ; Smith, Derek John ; Verma, Chandra

BMC bioinformatics, 2008-02, Vol.9 Suppl 1 (S1), p.S17-S17, Article S17 [Periódico revisado por pares]

England: BioMed Central Ltd

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5
Learning a hierarchical representation of the yeast transcriptomic machinery using an autoencoder model
Learning a hierarchical representation of the yeast transcriptomic machinery using an autoencoder model
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Learning a hierarchical representation of the yeast transcriptomic machinery using an autoencoder model

Chen, Lujia ; Cai, Chunhui ; Chen, Vicky ; Lu, Xinghua

BMC bioinformatics, 2016-01, Vol.17 Suppl 1 (2), p.9-9, Article S9 [Periódico revisado por pares]

England: BioMed Central Ltd

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6
Modeling biomedical experimental processes with OBI
Modeling biomedical experimental processes with OBI
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Modeling biomedical experimental processes with OBI

Brinkman, Ryan R ; Courtot, Mélanie ; Derom, Dirk ; Fostel, Jennifer M ; He, Yongqun ; Lord, Phillip ; Malone, James ; Parkinson, Helen ; Peters, Bjoern ; Rocca-Serra, Philippe ; Ruttenberg, Alan ; Sansone, Susanna-Assunta ; Soldatova, Larisa N ; Stoeckert, Jr, Christian J ; Turner, Jessica A ; Zheng, Jie

Journal of biomedical semantics, 2010-06, Vol.1 Suppl 1 (S1), p.S7-S7, Article S7 [Periódico revisado por pares]

England: BioMed Central

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7
Competitive molecular docking approach for predicting estrogen receptor subtype α agonists and antagonists
Competitive molecular docking approach for predicting estrogen receptor subtype α agonists and antagonists
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Competitive molecular docking approach for predicting estrogen receptor subtype α agonists and antagonists

Ng, Hui Wen ; Zhang, Wenqian ; Shu, Mao ; Luo, Heng ; Ge, Weigong ; Perkins, Roger ; Tong, Weida ; Hong, Huixiao

BMC bioinformatics, 2014-10, Vol.15 Suppl 11 (S11), p.S4-S4, Article S4 [Periódico revisado por pares]

England: BioMed Central Ltd

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8
The balance of reproducibility, sensitivity, and specificity of lists of differentially expressed genes in microarray studies
The balance of reproducibility, sensitivity, and specificity of lists of differentially expressed genes in microarray studies
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The balance of reproducibility, sensitivity, and specificity of lists of differentially expressed genes in microarray studies

Shi, Leming ; Jones, Wendell D ; Jensen, Roderick V ; Harris, Stephen C ; Perkins, Roger G ; Goodsaid, Federico M ; Guo, Lei ; Croner, Lisa J ; Boysen, Cecilie ; Fang, Hong ; Qian, Feng ; Amur, Shashi ; Bao, Wenjun ; Barbacioru, Catalin C ; Bertholet, Vincent ; Cao, Xiaoxi Megan ; Chu, Tzu-Ming ; Collins, Patrick J ; Fan, Xiao-Hui ; Frueh, Felix W ; Fuscoe, James C ; Guo, Xu ; Han, Jing ; Herman, Damir ; Hong, Huixiao ; Kawasaki, Ernest S ; Li, Quan-Zhen ; Luo, Yuling ; Ma, Yunqing ; Mei, Nan ; Peterson, Ron L ; Puri, Raj K ; Shippy, Richard ; Su, Zhenqiang ; Sun, Yongming Andrew ; Sun, Hongmei ; Thorn, Brett ; Turpaz, Yaron ; Wang, Charles ; Wang, Sue Jane ; Warrington, Janet A ; Willey, James C ; Wu, Jie ; Xie, Qian ; Zhang, Liang ; Zhang, Lu ; Zhong, Sheng ; Wolfinger, Russell D ; Tong, Weida

BMC bioinformatics, 2008-08, Vol.9 Suppl 9 (Suppl 9), p.S10-S10, Article S10 [Periódico revisado por pares]

England: BioMed Central Ltd

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9
PredRSA: a gradient boosted regression trees approach for predicting protein solvent accessibility
PredRSA: a gradient boosted regression trees approach for predicting protein solvent accessibility
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PredRSA: a gradient boosted regression trees approach for predicting protein solvent accessibility

Fan, Chao ; Liu, Diwei ; Huang, Rui ; Chen, Zhigang ; Deng, Lei

BMC bioinformatics, 2016-01, Vol.17 Suppl 1 (2), p.8-8, Article S8 [Periódico revisado por pares]

England: BioMed Central Ltd

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10
Identifying essential proteins from active PPI networks constructed with dynamic gene expression
Identifying essential proteins from active PPI networks constructed with dynamic gene expression
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Identifying essential proteins from active PPI networks constructed with dynamic gene expression

Xiao, Qianghua ; Wang, Jianxin ; Peng, Xiaoqing ; Wu, Fang-xiang ; Pan, Yi

BMC genomics, 2015-01, Vol.16 Suppl 3 (S3), p.S1-S1, Article S1 [Periódico revisado por pares]

England: BioMed Central Ltd

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