Marcel Ferreira

What about now?

Thoughts?

#forensic #genomics #ONT

wowwww! Looks awesome!

🧬 The course is titled “Third-Generation Sequencing with Oxford Nanopore: Principles and Applications in Bioinformatics”, and it was designed to introduce graduate students to the fascinating world of electrical current-based sequencing.

🔬✨ I'm very happy to share that I’ll be teaching a new graduate-level course in the Postgraduate Program in Biological Sciences (Genetics) at the Institute of Biosciences of Botucatu – UNESP!

Basic Knowledge R, R Studio and R Markdown Linear regression and linear algebra Numerical optimization Penalized linear models and model selection Nonlinear and Nonparametric Models Spline K-nearest neighbor Kernel smoothing Classification models Logistic regression Discriminant analysis Machine Learning Models Support vector machine Kernel ridge regression Tree models Random forests Boosting Unsupervised Learning K-means Hierarchical clustering PCA self-organizing map Spectral clustering UMAP

Gaussian Kernel Regression

Here’s a beautifully-written free online #RStats book!

𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐚𝐥 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐑 by 𝘙𝘶𝘰𝘲𝘪𝘯𝘨 𝘡𝘩𝘶

teazrq.github.io/SMLR/

Of course, I already have the #pkgdown page ! ♥️♥️

marceelrf.github.io/tidyspec/

tidyspec: Spectroscopy Analysis Using the Tidy Data Philosophy Enables the analysis of spectroscopy data such as infrared ('IR'), Raman, and nuclear magnetic resonance ('NMR') using the tidy data framework from the 'tidyverse'. The 'tidyspec' package provides fun...

My first #Rstats package is officially on #CRAN!

cran.r-project.org/package=tidy...

In the next few days, I'm going to test whether the famous data availability section, where everyone says that data will be available on reasonable request, works.
I'm already in pain.

GitHub - marceelrf/rosalind-cli Contribute to marceelrf/rosalind-cli development by creating an account on GitHub.

I'll keep sharing the progress here!

Take a look in the Github repo:
github.com/marceelrf/ro...

As well as consolidating my knowledge, I want to turn this project into a teaching repository for anyone who also wants to learn how to turn code into real scientific analysis tools.

So I decided to challenge myself: I created a project to develop a CLI in Rust 🦀 that solves the challenges of the Rosalind platform, a classic in computational bioinformatics teaching.

Command line programs (CLI) are fundamental in bioinformatics: they allow reproducibility, automation and integration into pipelines. I've always wanted to understand how these systems work from the inside - not just use them, but build them.

🧵I've always used command line tools in #bioinformatics, but...
what if I created one from scratch?
⠀
I've started a personal project: a CLI in #Rust that solves the challenges of the Rosalind platform.
⠀
In the thread, I'll tell you why this matters (and why it might interest you too). 👇

You should like #bioinformatics more than a programming language.

I am happy to share with you our new article, a review of the cellular impact of ion release in bone biomaterial systems. This work is the result of a 10-year partnership with Prof. Zambuzzi.

access this link until June 6th:

kwnsfk27.r.eu-west-1.awstrack.me/L0/https:%2F...

I am happy to share with you our new article, a review of the cellular impact of ion release in bone biomaterial systems. This work is the result of a 10-year partnership with Prof. Zambuzzi.

access this link until June 6th:

kwnsfk27.r.eu-west-1.awstrack.me/L0/https:%2F...

We resubmitted an article on Friday, and it was accepted today!

I'll share the link with you soon!

If everything happens on time, I'll submit it to CRAN next week!

I have plans for more features (probably in other packages) that will create a powerful environment for analyzing this type of data.

If you work with spectroscopy analysis data and use #Rstats (or want to learn), I invite you to try my tidyspec package (github.com/marceelrf/ti...).
I
t's in the final stages of development and I'd love to hear everyone's opinions!

Minha proposta foi selecionada para a segunda etapa do Projeto Geração da FAPESP

Muito feliz

how come no one has ever trained a neural network to count how many zombies were killed in The Walking Dead.

#deeplearning #twd

I can't stand modifying my haplotype determination script anymore

#Genomics

Testando postar direto do R. com #Genomics

Não rolou

Testando postar direto do R com \#Rscript

Testando postar direto do R.