Pamela Villalba (@asetpame) 's Twitter Profile
Pamela Villalba

@asetpame

Plant Geneticist | Tree Breeding 🧬🌳🧬🌲
@iabimo @intaargentina @conicetdialoga @REDBIOArgentina.
These are my own opinions. She/Her/Hers.

ID: 1412784542

calendar_today08-05-2013 12:53:20

806 Tweet

108 Takipçi

500 Takip Edilen

REDBIO Argentina (@redbioargentina) 's Twitter Profile Photo

Última charla de la mesa redonda. La Ing. Agr. Magister Luciana Imbrogno, Gerenta general de la @biofabricamisiones, nos cuenta sobre el "Desarrollo de la Biotecnología en Misiones: experiencias transformadoras desde Biofábrica Misiones".

Última charla de la mesa redonda.
La Ing. Agr. Magister Luciana Imbrogno, Gerenta general de la @biofabricamisiones, nos cuenta sobre el "Desarrollo de la Biotecnología en Misiones: experiencias transformadoras desde Biofábrica Misiones".
Joachim Schork (@joachimschork) 's Twitter Profile Photo

Combining multiple ggplot2 plots into a single, cohesive layout is a breeze with patchwork. This powerful package allows you to arrange and customize plots seamlessly, making it ideal for creating dashboards, multipanel figures, or complex visual comparisons. The attached

Combining multiple ggplot2 plots into a single, cohesive layout is a breeze with patchwork. This powerful package allows you to arrange and customize plots seamlessly, making it ideal for creating dashboards, multipanel figures, or complex visual comparisons.

The attached
Joachim Schork (@joachimschork) 's Twitter Profile Photo

Detecting collinearity is important when building regression models, as it can affect the stability and interpretability of your model’s coefficients. The plot here shows the Variance Inflation Factor (VIF) for each predictor variable, which helps identify whether collinearity is

Detecting collinearity is important when building regression models, as it can affect the stability and interpretability of your model’s coefficients. The plot here shows the Variance Inflation Factor (VIF) for each predictor variable, which helps identify whether collinearity is
Joachim Schork (@joachimschork) 's Twitter Profile Photo

Transforming raw regression results into polished, publication-ready tables is effortless with the gtsummary package in R. The tbl_regression() function converts regression model outputs into clean, well-organized tables that showcase key statistics like estimates, confidence

Rosana Ferrero 📈📊🙌 (@rosanaferrero) 's Twitter Profile Photo

🔍 ¿Cómo evitar errores frecuentes al hacer inferencia estadística? Guía esencial (y práctica) con claves para no perderte en el camino 📊🧠 Muchos análisis fallan no por falta de datos, sino por malas decisiones al inferir. Aquí tienes 5 errores comunes —y cómo evitarlos.👇🧵

🔍 ¿Cómo evitar errores frecuentes al hacer inferencia estadística?
Guía esencial (y práctica) con claves para no perderte en el camino 📊🧠

Muchos análisis fallan no por falta de datos, sino por malas decisiones al inferir.
Aquí tienes 5 errores comunes —y cómo evitarlos.👇🧵
Ming "Tommy" Tang (@tangming2005) 's Twitter Profile Photo

Depending on your data type, use the right plot to tell the story. A nice interactive app to determine what plots you need data-to-viz.com

Depending on your data type, use the right plot to tell the story.
A nice interactive app to determine what plots you need
data-to-viz.com
Joachim Schork (@joachimschork) 's Twitter Profile Photo

The Wilcoxon Signed-Rank Test is a non-parametric statistical test used to compare two related samples or repeated measurements to determine if their population distributions differ. Unlike the paired t-test, which assumes normal distribution, the Wilcoxon Signed-Rank Test is

The Wilcoxon Signed-Rank Test is a non-parametric statistical test used to compare two related samples or repeated measurements to determine if their population distributions differ. Unlike the paired t-test, which assumes normal distribution, the Wilcoxon Signed-Rank Test is
Bioinformatics Advances (@bioinfoadv) 's Twitter Profile Photo

📊 Just out in Bioinformatics Advances: “DgeaHeatmap: An R package for transcriptomic analysis and heatmap generation”  Explore the full study: doi.org/10.1093/bioadv…

📊 Just out in Bioinformatics Advances: “DgeaHeatmap: An R package for transcriptomic analysis and heatmap generation” 

Explore the full study: doi.org/10.1093/bioadv…
Niko McCarty 🧫 (@nikomccarty) 's Twitter Profile Photo

A new paper, in Nature Chemistry, proves that there are still tons of "basic" things to discover in biology. There is so much room at the bottom. TL;DR: Researchers discovered a new type of post-translational modification, called “oligophosphorylation.” Rather than being tagged

A new paper, in Nature Chemistry, proves that there are still tons of "basic" things to discover in biology. There is so much room at the bottom.

TL;DR: Researchers discovered a new type of post-translational modification, called “oligophosphorylation.” Rather than being tagged
tut_ml (@tut_ml) 's Twitter Profile Photo

Learn Statistics- mltut.com/best-statistic… Kirk Borne Antonio Grasso @ronald_vanloon #MachineLearning #DeepLearning #BigData #Datascience #ML #HealthTech #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #python #AI #keras #SQL

Learn Statistics- mltut.com/best-statistic…

<a href="/KirkDBorne/">Kirk Borne</a>
<a href="/antgrasso/">Antonio Grasso</a>
@ronald_vanloon
#MachineLearning #DeepLearning #BigData #Datascience #ML #HealthTech #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #python #AI #keras #SQL
Joachim Schork (@joachimschork) 's Twitter Profile Photo

Misuse of p-values is a prevalent issue in scientific research. P-values are often misunderstood and misapplied, leading to incorrect conclusions. A p-value measures the probability of obtaining results at least as extreme as the observed ones, assuming that the null hypothesis

Misuse of p-values is a prevalent issue in scientific research. P-values are often misunderstood and misapplied, leading to incorrect conclusions. A p-value measures the probability of obtaining results at least as extreme as the observed ones, assuming that the null hypothesis
Joachim Schork (@joachimschork) 's Twitter Profile Photo

Working with environmental data often means searching through multiple sources and handling messy file formats. The forestdata R package solves this by bringing global forest, land-use, and canopy height datasets directly into R. It makes exploring large-scale ecological data

Working with environmental data often means searching through multiple sources and handling messy file formats.

The forestdata R package solves this by bringing global forest, land-use, and canopy height datasets directly into R. It makes exploring large-scale ecological data
Javier Santoyo (@jsantoyo) 's Twitter Profile Photo

Targeted sequencing and iterative assembly of near-complete genomes. #TargetedSequencing #LongRead #Sequencing #LRS #GenomeAssembly bioRxiv Genomics biorxiv.org/content/10.110…

Targeted sequencing and iterative assembly of near-complete genomes. #TargetedSequencing #LongRead #Sequencing #LRS #GenomeAssembly <a href="/biorxiv_genomic/">bioRxiv Genomics</a> 
biorxiv.org/content/10.110…
Joachim Schork (@joachimschork) 's Twitter Profile Photo

If you're still using raw R outputs for presentations, it's time for an upgrade! Tools like gtsummary bring your statistical results to life, making them much more digestible for non-technical audiences. While base R functions like summary(fit) work well for statisticians, they

If you're still using raw R outputs for presentations, it's time for an upgrade! Tools like gtsummary bring your statistical results to life, making them much more digestible for non-technical audiences.

While base R functions like summary(fit) work well for statisticians, they
Ming "Tommy" Tang (@tangming2005) 's Twitter Profile Photo

Making a heatmap is an essential skill for a bioinformatician. But you probably do not understand heatmap. 7 reading resources to understand heatmap! 🧵

Making a heatmap is an essential skill for a bioinformatician. But you probably do not understand heatmap. 7 reading resources to understand heatmap! 🧵
REDBIO Argentina (@redbioargentina) 's Twitter Profile Photo

Jornada científica de REDBIO Argentina: “#Cannabis industrial y medicinal: abordajes desde la caracterización, producción, legalización y biotecnología”. Tendremos la entrega del premio REDBIO Argentina y el brindis de cierre de año. Inscripción: forms.gle/FRyfBVobWSZgnP…

Jornada científica de <a href="/REDBIOArgentina/">REDBIO Argentina</a>: “#Cannabis industrial y medicinal: abordajes desde la caracterización, producción, legalización y biotecnología”.
Tendremos la entrega del premio <a href="/REDBIOArgentina/">REDBIO Argentina</a> y el brindis de cierre de año.
Inscripción: forms.gle/FRyfBVobWSZgnP…