KevsGenomic's profile picture. BsC in Genomic Sciences🧬, interested in Cancer🧫, Epigenetics and Immunology🔬.
We are constant fight against entropy ✨☝🏻.

Kevin Meza

@KevsGenomic

BsC in Genomic Sciences🧬, interested in Cancer🧫, Epigenetics and Immunology🔬. We are constant fight against entropy ✨☝🏻.

Kevin Meza 已轉發

You’re underestimating R : How to go from Zero to Hero in R by Haythamcheikhrouhou link.medium.com/apSDNkUnvCb #rstats


Kevin Meza 已轉發

Serious Q: What's the difference between bioinformatics and computational biology? I got this question from a father who wants to choose a major for his daughter in college by email.👇 🧵


Kevin Meza 已轉發

Why is integration of single cell RNA-seq an accepted and standard practice but combining bulk RNA-seq datasets from different sources is generally discouraged? Prompted by this discussion biostars.org/p/439184/


Kevin Meza 已轉發

🧪 Applying to STEM graduate programs this year and need help understanding the application process? Join us 8/30 at 3pm EST for our webinar covering the timeline for the STEM grad app process and how to build a strong application! REIGSTER today! 🔽 eventbrite.com/e/overview-of-…


Kevin Meza 已轉發

6 single cell marker gene tools/databases for you to use 👇 🧵


Kevin Meza 已轉發

If you want to fly abroad on a funded internship, google these💸✈️ ▫️OIST Japan ▫️RIPS UCLA ▫️SURF- CalTech ▫️DAAD, Germany ▫️Mitacs, Canada Globalink. ▫️SN Bose Scholars Program ▫️Khorana Summer Internships ▫️RISS (CMU Robotics Program) ▫️NTU Singapore International Prog


Kevin Meza 已轉發

In scRNA-seq analysis, "overcorrection" of batch effects is a frequent cause for loss of important biological variability. Using prior celltype knowledge is a powerful way to limit overcorrection and should be more common practice. Sharing new preprint! biorxiv.org/content/10.110…


Kevin Meza 已轉發

What is happening in single-cell genomics?! A new paper from the Karasuyama lab at @TMDUniversity (nature.com/articles/s4146…) shows three different RNA velocity / pseudotime plots, no pair of which agree, and then merrily goes on to tell some story. 👀

lpachter's tweet image. What is happening in single-cell genomics?! A new paper from the Karasuyama lab at @TMDUniversity (nature.com/articles/s4146…) shows three different RNA velocity / pseudotime plots, no pair of which agree, and then merrily goes on to tell some story. 👀
lpachter's tweet image. What is happening in single-cell genomics?! A new paper from the Karasuyama lab at @TMDUniversity (nature.com/articles/s4146…) shows three different RNA velocity / pseudotime plots, no pair of which agree, and then merrily goes on to tell some story. 👀
lpachter's tweet image. What is happening in single-cell genomics?! A new paper from the Karasuyama lab at @TMDUniversity (nature.com/articles/s4146…) shows three different RNA velocity / pseudotime plots, no pair of which agree, and then merrily goes on to tell some story. 👀
lpachter's tweet image. What is happening in single-cell genomics?! A new paper from the Karasuyama lab at @TMDUniversity (nature.com/articles/s4146…) shows three different RNA velocity / pseudotime plots, no pair of which agree, and then merrily goes on to tell some story. 👀

Kevin Meza 已轉發

Rejection of your paper or grant has NO relevance to the opinion of #research community. It is nothing but the opinion of one person. Several examples: 1. The first paper on graphene was rejected from Nature because “it did not constitute a sufficient scientific advance”.…

Andrew_Akbashev's tweet image. Rejection of your paper or grant has NO relevance to the opinion of #research community. It is nothing but the opinion of one person.

Several examples:

1. The first paper on graphene was rejected from Nature because “it did not constitute a sufficient scientific advance”.…

Kevin Meza 已轉發

1. Excited to share our new paper in @Nature! With over 1000 tumors analyzed by scRNA-seq, we provide a systematic pan-cancer characterization of transcriptional intra-tumor heterogeneity (ITH) nature.com/articles/s4158…


Kevin Meza 已轉發

The @cziscience team is excited to launch our new Gene Expression feature on #CZCellxGene! It helps researchers identify marker genes using RNA expression data across 31M+ cells: bit.ly/3xZl5RM


Kevin Meza 已轉發

Writing a scientific article: A step-by-step guide for beginners sciencedirect.com/science/articl… #research h/t @surgmedia

Innov_Medicine's tweet image. Writing a scientific article: A step-by-step guide for beginners sciencedirect.com/science/articl…
#research
h/t @surgmedia

Kevin Meza 已轉發

I'm thrilled to share my first tutorial in 2023 on mapping the population with R! milospopovic.net/6-ways-to-map-… Using this 6-in-1 post you can map other European countries! #population #RStats #DataScience #dataviz #geospatial #maps

milosmakesmaps's tweet image. I'm thrilled to share my first tutorial in 2023 on mapping the population with R! 

milospopovic.net/6-ways-to-map-…

Using this 6-in-1 post you can map other European countries!

#population #RStats #DataScience #dataviz #geospatial #maps
milosmakesmaps's tweet image. I'm thrilled to share my first tutorial in 2023 on mapping the population with R! 

milospopovic.net/6-ways-to-map-…

Using this 6-in-1 post you can map other European countries!

#population #RStats #DataScience #dataviz #geospatial #maps
milosmakesmaps's tweet image. I'm thrilled to share my first tutorial in 2023 on mapping the population with R! 

milospopovic.net/6-ways-to-map-…

Using this 6-in-1 post you can map other European countries!

#population #RStats #DataScience #dataviz #geospatial #maps
milosmakesmaps's tweet image. I'm thrilled to share my first tutorial in 2023 on mapping the population with R! 

milospopovic.net/6-ways-to-map-…

Using this 6-in-1 post you can map other European countries!

#population #RStats #DataScience #dataviz #geospatial #maps

Kevin Meza 已轉發

As an academic writing coach, here are the 9 mistakes I see PhD and grad students make when writing scientific papers. A thread. 🧵 #PhDchat #ECRchat


Kevin Meza 已轉發

download GEO data from the ftp ftp.ncbi.nlm.nih.gov/geo/README.txt if you are using command line (wget), that's a better place to go than the GEO web page.


Kevin Meza 已轉發

Knowing how to give a good talk is a crucial skill to have, but it's mostly not formally taught very well. Here's a 🧵on my strategy for how to prepare for the presentation, actually present it, and then answer the questions.


Kevin Meza 已轉發

A labor of love: "Challenges and perspectives in computational deconvolution in genomics data". It discusses #deconvolution challenges across bulk measurement (gene expression and DNA #methylation) and #spatial #transcriptomics. #Bioinformatics arxiv.org/abs/2211.11808

GarmireGroup's tweet image. A labor of love: "Challenges and perspectives in computational deconvolution in genomics data".
It discusses #deconvolution challenges across bulk measurement (gene expression and DNA #methylation) and #spatial #transcriptomics. 
#Bioinformatics 
arxiv.org/abs/2211.11808

Kevin Meza 已轉發

Should you write the results and discussion in one section? If the journal has its own requirements, then that’s fine, follow them. But what if you can choose? If you can pick, then you shouldn’t write the results and discussion together in one section. Here’s why👇 #PhDVoice


Kevin Meza 已轉發

5 websites to analyze GEO RNAseq data without a single line of code:👇🧵


Kevin Meza 已轉發

In this new paper, I described comprehensively the current features of ComplexHeatmap. Thank the executive editor @YongXinLiu7 from @iMetaScience journal for the paper invitation! doi.org/10.1002/imt2.43


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