Results 41 to 50 of about 1,973,231 (200)

Multiobjective Optimization in Bioinformatics and Computational Biology [PDF]

IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2007
This paper reviews the application of multiobjective optimization in the fields of bioinformatics and computational biology. A survey of existing work, organized by application area, forms the main body of the review, following an introduction to the key concepts in multiobjective optimization.
Julia Handl, Douglas B. Kell, Joshua D. Knowles   +2 more
openaire   +4 more sources

Computational Biology and Applied Bioinformatics [PDF]

, 2011
Nowadays it is difficult to imagine an area of knowledge that can continue developing without the use of computers and informatics. It is not different with biology, that has seen an unpredictable growth in recent decades, with the rise of a new ...

core   +1 more source

Reproducible computational biology experiments with SED-ML-the Simulation Experiment Description Markup Language [PDF]

, 2011
The increasing use of computational simulation experiments to inform modern biological research creates new challenges to annotate, archive, share and reproduce such experiments.
Ion I Moraru, Richard Adams, Andrew K Miller, Sven Sahle, Sahle, Sven, Snoep, Jacky L, Moraru, Ion I, Waltemath, Dagmar, Miller, Andrew K., Miller, Andrew K, Frank T Bergmann, Nickerson, David, Adams, Richard, Le Novère, Nicolas, Kolpakov, Fedor, Bergmann, Frank T, David Nickerson, Fedor Kolpakov, Michael Hucka, Dagmar Waltemath, Snoep, Jacky L., Jacky L Snoep, Moraru, Ion I., Nicolas Le Novère, Hucka, Michael, Bergmann, Frank T.   +25 more
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SeqPredNN: a neural network that generates protein sequences that fold into specified tertiary structures

BMC Bioinformatics, 2023
Background The relationship between the sequence of a protein, its structure, and the resulting connection between its structure and function, is a foundational principle in biological science.
F. Adriaan Lategan, Caroline Schreiber, Hugh G. Patterton   +2 more
doaj   +1 more source

Large-scale in silico mutagenesis experiments reveal optimization of genetic code and codon usage for protein mutational robustness

BMC Biology, 2020
Background How, and the extent to which, evolution acts on DNA and protein sequences to ensure mutational robustness and evolvability is a long-standing open question in the field of molecular evolution.
Martin Schwersensky, Marianne Rooman, Fabrizio Pucci   +2 more
doaj   +1 more source

A deep learning framework for automated detection and quantitative assessment of liver trauma

BMC Medical Imaging, 2022
Background Both early detection and severity assessment of liver trauma are critical for optimal triage and management of trauma patients. Current trauma protocols utilize computed tomography (CT) assessment of injuries in a subjective and qualitative (v.
Negar Farzaneh, Erica B. Stein, Reza Soroushmehr, Jonathan Gryak, Kayvan Najarian   +4 more
doaj   +1 more source

Overview of Random Forest Methodology and Practical Guidance with Emphasis on Computational Biology and Bioinformatics [PDF]

, 2012
The Random Forest (RF) algorithm by Leo Breiman has become a standard data analysis tool in bioinformatics. It has shown excellent performance in settings where the number of variables is much larger than the number of observations, can cope with ...
König, Inke R., Boulesteix, Anne-Laure, Kruppa, Jochen, Janitza, Silke   +3 more
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Bioinformatics: an overview for cancer research [PDF]

, 2012
Bioinformatics is a new science that is glowing out in the recent years. It is a multidisciplinary science that is made out of different kinds of other scientific fields like biology, computer science, chemistry, statistics, mathematics and others.
Lu, Joan, Al-Rajab, Murad
core   +3 more sources

Label-aware distance mitigates temporal and spatial variability for clustering and visualization of single-cell gene expression data

Communications Biology
Clustering and visualization are essential parts of single-cell gene expression data analysis. The Euclidean distance used in most distance-based methods is not optimal. The batch effect, i.e., the variability among samples gathered from different times,
Shaoheng Liang, Jinzhuang Dou, Ramiz Iqbal, Ken Chen   +3 more
doaj   +1 more source

Bi-directional gene set enrichment and canonical correlation analysis identify key diet-sensitive pathways and biomarkers of metabolic syndrome. [PDF]

, 2010
peer-reviewedBackground Currently, a number of bioinformatics methods are available to generate appropriate lists of genes from a microarray experiment.
Morine Melissa J, Aidan P Moloney, Toomey Sinead, Melissa J Morine, McMonagle, Jolene, Roche, Helen M., Gaora Peadar Ó, Moloney, Aidan P, Isobel C Gormley, Helen M Roche, O Gaora, Peadar, Peadar Ó Gaora, Roche Helen M, Moloney Aidan P, Reynolds Clare M, Sinead Toomey, Toomey, Sinead, Jolene McMonagle, Clare M Reynolds, Morine, Melissa J, McMonagle Jolene, Gormley, Isobel C, Gormley Isobel C, Reynolds, Clare M   +23 more
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