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Breast Cancer Expression Data
We will load and examine a data frame that contains clinical information from over 1,000 breast cancer patients from The Cancer Genome Atlas (TCGA).
Evaluación de modelos de regresión con tidymodels
Evaluación de modelos de regresión lineal y logística con tidymodels
TABLERO ICFES
Tablero con graficas de datos de puntajes de los exámenes icfes
Heatmaps
Heatmaps are a way to colorize, visualize, and organize a data set with the goal of intuiting relationships among observations and features. We will use heatmaps in this course to find patterns in the gene expression data for the 1K breast cancer patients from The Cancer Genome Atlas. Here, we focus on what heatmaps are and how to create them by practicing with a small dataset.
Breast Cancer Cell Lines
We work with data from experiments with human cancer cell lines from the Physical Sciences in Oncology (PS-ON) Cell Line Characterization Study. Cancer cell lines are cancer cells that keep dividing and growing over time, under certain conditions in a laboratory. Cancer cell lines are used in research to study the biology of cancer and to test cancer treatments. The PS-ON Study includes imaging- and microscopy-based measurements of physical properties of the cells, such as morphology (shape) and motility (movement). We will examine: -- the expression levels of genes, and -- how fast the cells move.
Visualización de datos - Ejercicio # 1
En este cuaderno se realizarán una serie de ejercicios de visualización y descripción utilizando un conjunto de datos llamado StudyArea.csv, que es un archivo separado por comas que contiene datos de incendios forestales de los años 1980-2016 para los estados de California, Oregón, Washington, Idaho, Montana, Wyoming, Colorado, Utah, Nevada, Arizona y Nuevo México.
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Problem set 5 EC 420
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