BIOST3

NEW WORKSHOP OMICS AND DATA SCIENCE REVOLUTION: A NEW ERA IN BIOLOGY? BIOINFORMATICS WORKSHOP Martes, 04 Junio 2019 · 08:45h - 19:00h UAB - Edifici Eureka - Sala Polivalent 150€ Amb seminaris i pràctiques de diferents especialistes en: ·         Next Generation Sequencing ·         Omics data computing ·         Amplicon sequencing ·         Metatranscriptomics ·         Metabarcoding ·         Metagenomics ·         Metabolomics ·         Data sciences ·         Statistics ·         RNAseq https://www.inscribirme.com/omicsanddatasciencerevolutionanewerainbiologybioinformaticsworkshop   ...

Articulo muy interesante sobre How much of a Bayesian posterior distribution falls inside a region of practical equivalence (ROPE) The posterior distribution of a parameter shows explicitly the relative credibility of the parameter values, given the data. But sometimes people want to make a yes/no decision about whether a particular parameter value is credible, such as the "null" values of 0.0 difference or 0.50 chance probability. For making decisions about null values, I advocate using a  region of practical equivalence  (ROPE) along with a posterior  highest density interval (HDI). The null value is declared to be  rejected  if the (95%, say) HDI falls completely  outside  the ROPE, and the null value is declared to be  accepted  (for practical purposes) if the 95% HDI falls completely  inside  the ROPE. This decision rule accepts the null value only when the posterior estimate is precise enough to fall within a ROPE. Th...

NUEVA EDICION DEL CURSO DE DATA SCIENCE: RPOXIMA CONVOCATORIA (CURSO EN PERIODO DE APROBACION) MAS INFORMACION MARZO 2019

Resources in R at: http://sia.webpopix.org/index.html Topics covered in the current version of the course are: hypopthesis testing (single and multiple comparisons) regression models (linear and nonlinear models) mixed effects models (linear and nonlinear models) mixture models detection of change points image restoration

La Inteligencia Artificial como arma contra futuras epidemias (1-2019) Uso del Data-Science para predecir enfermedades 0 El investigador Rainier Mallol ha creado un sistema de IA que prevé hasta con tres meses de antelación futuras enfermedades infecciosas   La https://www.lavanguardia.com/tecnologia/20190123/454265596336/inteligencia-artificial-arma-contra-futuras-epidemias-brl.html  

Un blog muy interesante, que puede encontrarse en: http://jpktd.blogspot.com/2013/04/ http://jpktd.blogspot.com/2013/04/multiple-testing-p-value-corrections-in.html