Titlebook: Advances in Bioinformatics and Computational Biology; 9th Brazilian Sympos Sérgio Campos Conference proceedings 2014 Springer International

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書(shū)目名稱(chēng)Advances in Bioinformatics and Computational Biology影響因子(影響力)




書(shū)目名稱(chēng)Advances in Bioinformatics and Computational Biology影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Advances in Bioinformatics and Computational Biology網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Advances in Bioinformatics and Computational Biology網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Advances in Bioinformatics and Computational Biology被引頻次




書(shū)目名稱(chēng)Advances in Bioinformatics and Computational Biology被引頻次學(xué)科排名




書(shū)目名稱(chēng)Advances in Bioinformatics and Computational Biology年度引用




書(shū)目名稱(chēng)Advances in Bioinformatics and Computational Biology年度引用學(xué)科排名




書(shū)目名稱(chēng)Advances in Bioinformatics and Computational Biology讀者反饋




書(shū)目名稱(chēng)Advances in Bioinformatics and Computational Biology讀者反饋學(xué)科排名

cloture

https://doi.org/10.1007/b138699rithms and produces alignments that do not depend on specific sequence features. The proposed method is validated with a database of refined multiple sequence alignments and uses four standard metrics to compare the quality of the results.

發(fā)展

https://doi.org/10.1007/b138699cribe the molecular biology databases. However, how to use these metadata to infer the quality of a database is a clear open issue. In the present work, we propose an ontology-based approach aiming to guide the database selection process from molecular biology database catalogs using these metadata.

vector

IRK

MUT

https://doi.org/10.1007/b138699akes into account distinct supervised learning strategies: one lazy learner, two eager-learners and one ensemble learner. Though the performance of the four base classifiers was good, the ensemble-based strategy with . has achieved the overall best result.

ingestion

https://doi.org/10.1007/b138699uplications. Our framework makes it easy to compute Maximum accuracy solutions, which in turn require the computation of the probabilities of individual edges in the ensemble of Hamiltonian paths. The expansion of the Hox gene clusters is investigated as a show-case application. For implementation details see .

切掉

https://doi.org/10.1007/b138699 system model. We illustrate how such model integration allows bridging a gap between gene level information and cell level population, and how the model is able to describe a coherent immunological behaviour when challenged with different stimuli.

incredulity

neurologist

https://doi.org/10.1007/b138699on their lengths and asymmetries. We present five procedures and we assess these procedure performances on small sized permutations. The ideas presented in this paper provide insights to solve the problem and set the stage for a proper theoretical analysis.