ERROR:SQLSTATE[HY000]: General error: 20018 Invalid column name 'CodigoInstitucion'. [20018] (severity 16) [SELECT PublicObrasAutores.NumeroEmpleado, PublicObrasAutores.ApellidoPaterno, PublicObrasAutores.ApellidoMaterno, PublicObrasAutores.Nombre, PublicObrasAutores.NombreCompleto FROM PublicObrasAutores LEFT JOIN PublicObrasAutoresFil ON PublicObrasAutores.RefPublicacion = PublicObrasAutoresFil.RefPublicacion WHERE PublicObrasAutores.RefPublicacion = '616156' AND PublicObrasAutores.NumeroEmpleado IS NULL AND PublicObrasAutoresFil.CodigoInstitucion IS NOT NULL;]
SELECT PublicObrasAutores.NumeroEmpleado, PublicObrasAutores.ApellidoPaterno, PublicObrasAutores.ApellidoMaterno, PublicObrasAutores.Nombre, PublicObrasAutores.NombreCompleto FROM PublicObrasAutores LEFT JOIN PublicObrasAutoresFil ON PublicObrasAutores.RefPublicacion = PublicObrasAutoresFil.RefPublicacion WHERE PublicObrasAutores.RefPublicacion = '616156' AND PublicObrasAutores.NumeroEmpleado IS NULL AND PublicObrasAutoresFil.CodigoInstitucion IS NOT NULL;

ERROR:SQLSTATE[HY000]: General error: 20018 Invalid column name 'CodigoInstitucion'. [20018] (severity 16) [SELECT PublicObrasAutores.NumeroEmpleado, PublicObrasAutores.ApellidoPaterno, PublicObrasAutores.ApellidoMaterno, PublicObrasAutores.Nombre, PublicObrasAutores.NombreCompleto FROM PublicObrasAutores LEFT JOIN PublicObrasAutoresFil ON PublicObrasAutores.RefPublicacion = PublicObrasAutoresFil.RefPublicacion WHERE PublicObrasAutores.RefPublicacion = '616156' AND PublicObrasAutores.NumeroEmpleado IS NULL AND PublicObrasAutoresFil.CodigoInstitucion IS NULL;]
SELECT PublicObrasAutores.NumeroEmpleado, PublicObrasAutores.ApellidoPaterno, PublicObrasAutores.ApellidoMaterno, PublicObrasAutores.Nombre, PublicObrasAutores.NombreCompleto FROM PublicObrasAutores LEFT JOIN PublicObrasAutoresFil ON PublicObrasAutores.RefPublicacion = PublicObrasAutoresFil.RefPublicacion WHERE PublicObrasAutores.RefPublicacion = '616156' AND PublicObrasAutores.NumeroEmpleado IS NULL AND PublicObrasAutoresFil.CodigoInstitucion IS NULL;

ERROR:SQLSTATE[HY000]: General error: 20018 Invalid column name 'Institucion'. [20018] (severity 16) [SELECT Institucion FROM PublicObrasAutoresFil WHERE RefPublicacion = '616156']
SELECT Institucion FROM PublicObrasAutoresFil WHERE RefPublicacion = '616156'

ERROR:SQLSTATE[HY000]: General error: 20018 Invalid column name 'Institucion'. [20018] (severity 16) [SELECT Institucion FROM PublicObrasAutoresFil WHERE RefPublicacion = 616156 AND InstitucionPropia = 'S' UNION SELECT Adscripciones.Entidad FROM PublicacionesObras JOIN PublicObrasAutores ON PublicacionesObras.Identificador = PublicObrasAutores.RefPublicacion JOIN Adscripciones ON PublicObrasAutores.NumeroEmpleado = Adscripciones.NumeroEmpleado WHERE (PublicacionesObras.FechaPublicacion BETWEEN Adscripciones.FechaDesde AND Adscripciones.FechaHasta OR (PublicacionesObras.FechaPublicacion >= Adscripciones.FechaDesde AND Adscripciones.FechaHasta IS NULL)) AND PublicacionesObras.Identificador= 616156]
SELECT Institucion FROM PublicObrasAutoresFil WHERE RefPublicacion = 616156 AND InstitucionPropia = 'S' UNION SELECT Adscripciones.Entidad FROM PublicacionesObras JOIN PublicObrasAutores ON PublicacionesObras.Identificador = PublicObrasAutores.RefPublicacion JOIN Adscripciones ON PublicObrasAutores.NumeroEmpleado = Adscripciones.NumeroEmpleado WHERE (PublicacionesObras.FechaPublicacion BETWEEN Adscripciones.FechaDesde AND Adscripciones.FechaHasta OR (PublicacionesObras.FechaPublicacion >= Adscripciones.FechaDesde AND Adscripciones.FechaHasta IS NULL)) AND PublicacionesObras.Identificador= 616156

Título del libro: Gecco 2022 Companion - Proceedings Of The 2022 Genetic And Evolutionary Computation Conference
Título del capítulo: Neuroevolution based Multi-Objective Algorithm for Gene Selection and Microarray Classification

Autores UNAM:

---

Autores externos:

---

Idioma:

---

Año de publicación:
2022

---

Palabras clave:

microarray; gene selection; neuroevolution

---

Resumen:

Microarrays allow the expression level analysis of thousands of genes simultaneously; thus, it is a common technique used for cancer detection and diagnosis. However, existing microarray datasets have huge data dimension and class imbalance, therefore, it is important to find relevant genes that accurately set classes apart and allow building more reliable classification models. A multi-objective algorithm is proposed to evolve artificial neural networks' topology and connection weights for microarray classification by minimizing the number of selected genes and the cross-entropy loss. The algorithm is based on the evolutionary multi-objective algorithm SMS-EMOA along with the genetic encoding and the crossover and mutation operators from the neuroevolution algorithms NEAT/N3O. Moreover, a speciation algorithm was implemented to protect the diversity of the selected features within the solutions. To test the algorithm performance, open datasets were used, most of them were gathered from the Curated Microarray Database (CuMiDa). The algorithm performance was measured by the geometric mean, the number of selected features, and the population hypervolume, and it was compared against N3O on microarray binary classification problems with competitive results. Furthermore, the results were investigated for statistical significance and show that the novel algorithm has a promising performance on the problem at hand.

---

Entidades citadas de la UNAM:

---

Fuente:



ISBN:
9781450392686
Editorial:
Association for Computing Machinery, Inc

Tipo de producto:
Proceedings Paper

DOI:
10.1145/3520304.3529058