Search Results - "Martin Maroto, Fernando"

ChromAlign:  A Two-Step Algorithmic Procedure for Time Alignment of Three-Dimensional LC−MS Chromatographic Surfaces by Sadygov, Rovshan G, Martin Maroto, Fernando, Hühmer, Andreas F. R

“…We present an algorithmic approach to align three-dimensional chromatographic surfaces of LC−MS data of complex mixture samples. The approach consists of two…”
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Statistical Model for Large-Scale Peptide Identification in Databases from Tandem Mass Spectra Using SEQUEST by López-Ferrer, Daniel, Martínez-Bartolomé, Salvador, Villar, Margarita, Campillos, Mónica, Martín-Maroto, Fernando, Vázquez, Jesús

“…Recent technological advances have made multidimensional peptide separation techniques coupled with tandem mass spectrometry the method of choice for…”
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Semantic Embeddings in Semilattices by Martin-Maroto, Fernando, de Polavieja, Gonzalo G

“…To represent anything from mathematical concepts to real-world objects, we have to resort to an encoding. Encodings, such as written language, usually assume a…”
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Properties of Average Score Distributions of SEQUEST by Martiánez-Bartolomé, Salvador, Navarro, Pedro, Martián-Maroto, Fernando, López-Ferrer, Daniel, Ramos-Fernández, Antonio, Villar, Margarita, Garciáa-Ruiz, Josefa P., Vázquez, Jesuás

“…High throughput identification of peptides in databases from tandem mass spectrometry data is a key technique in modern proteomics. Common approaches to…”
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Finite Atomized Semilattices by Martin-Maroto, Fernando, de Polavieja, Gonzalo G

“…We show that every finite semilattice can be represented as an atomized semilattice, an algebraic structure with additional elements (atoms) that extend the…”
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Infinite Atomized Semilattices by Martin-Maroto, Fernando, Ricciardo, Antonio, Mendez, David, de Polavieja, Gonzalo G

“…We extend the theory of atomized semilattices to the infinite setting. We show that it is well-defined and that every semilattice is atomizable. We also study…”
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Algebraic Machine Learning by Martin-Maroto, Fernando, de Polavieja, Gonzalo G

“…Machine learning algorithms use error function minimization to fit a large set of parameters in a preexisting model. However, error minimization eventually…”
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Properties of average score distributions of SEQUEST: the probability ratio method by Martínez-Bartolomé, Salvador, Navarro, Pedro, Martín-Maroto, Fernando, López-Ferrer, Daniel, Ramos-Fernández, Antonio, Villar, Margarita, García-Ruiz, Josefa P, Vázquez, Jesús

“…High throughput identification of peptides in databases from tandem mass spectrometry data is a key technique in modern proteomics. Common approaches to…”
Get full text