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Samanwoy Mukhopadhyay Profile
Samanwoy Mukhopadhyay

@scorpisammy

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37
Following
310
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66

Biotech PhD πŸŽ“ Bioinformatics whiz 🧬 Bulk & Single-Cell RNASeq πŸ“Š Genomics enthusiast 🌟 R & Python aficionado 🐍 Unveiling life's mysteries through data!

Kolkata
Joined November 2010
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@Sanbomics
Mark
2 years
I integrate and annotate 75 AML biopsies in part 2 of my 2024 single-cell guide. Custom label transfer, nuanced integration with hyperparameter tuning, avoiding pitfalls in analysis, etc. It's long, but one of my favorite videos so far.
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@ChenxinLi2
Chenxin Li, PhD (@chenxinli2.bsky.social)
4 years
My "Friends Don't Let Friends Make Bad Graphs" series is on GitHub! I will continue to update it when I have time and inspirations. Code and associated data also up there. https://t.co/KeSsEc9UpK
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github.com
Friends don't let friends make certain types of data visualization - What are they and why are they bad. - GitHub - cxli233/FriendsDontLetFriends: Friends don't let friends make ce...
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@scorpisammy
Samanwoy Mukhopadhyay
2 years
Now I am being charged for a trip that I did not even cancelled. What is this!!!
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@kyle_e_walker
Kyle Walker
2 years
A follow-up - Posit staff are working on an LLM interface called chattr: https://t.co/772CkCb9u0 It has been tweeted about with the #rstats hashtag... exactly 0 times https://t.co/fFn5W9Yxwx πŸ€·β€β™‚οΈ
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@tangming2005
Ming "Tommy" Tang
2 years
WGCNA is cited 16,372 times for bulk RNAseq co-expression analysis. The single-cell version is here: hdWGCNA identifies co-expression networks in high-dimensional transcriptomics data https://t.co/3zyCi89cuf My blog post on it a while ago
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@StevenXGe
Steven Ge
2 years
With https://t.co/xIwKCUofyw, you can chat with your data in plain languages. Now upgraded to v. 0.96. Fix a bug and made GPT-4 available. Interactive plots via plotly and CanvasExpress!
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@rlbarter
Rebecca Barter
2 years
Are you an R user who is interested in learning Python 🐍 ? My new blog post introducing Python from an R user's perspective might be just the launching point you need to get started on your journey πŸ›« https://t.co/LDHzG2VlZm #rstats #python #DataScience
rebeccabarter.com
I have a confession to make: I am now a Python user. Don’t judge me, join me! In this post, I introduce Python for data analysis from the perspective of an R (tidyverse) user. This post is a must-r...
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@ChelseaParlett
Chelsea Parlett
2 years
I was using plotnine to create a figure with @quarto_pub and had to figure out that you need to call .draw() on your plot in order for it to work! (This is unlike mpl where you call .show()) In case this saves anyone else from a google search!
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@AndreaCirilloAC
Andrea Cirillo
6 years
I'm increasingly using #Python since it is used in my new office. A sad move from #rstats until now. I was especially missing my beloved #ggplot2... but today I've discovered #plotnine, a kind of ggplot for #PythonProgramming : great discovery! https://t.co/52vZhavcH4
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@Python_cursos
Python_cursos
4 years
Plot as a function of two-level categorical variables Weight of athletes according to sex and sport Compare Females vs Males https://t.co/usGUSqWCaG #plotnine python software Libre Costa Rica CostaRica Nicaragua Guatemala El Salvador Honduras #sinluz Peso sexo Deporte Atletas
@Ubuntu8Touch
Ubuntu-Touch
4 years
Plot as a function of two-level categorical variables Weight of athletes according to sex and sport Compare Females vs Males #rstats ggplot Costa Rica #CostaRica Nicaragua Guatemala El Salvador Honduras #sinluz Peso sexo Deporte Atletas
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@tangming2005
Ming "Tommy" Tang
2 years
google tip: search "package name" [r] will give you the R package. [] is for the R language. you can use [python] too.
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@rappa753
Albert Rapp
2 years
Need a quick data summary? gt_plt_summary() from {gtExtras} is your friend πŸ₯³ #rstats
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@rappa753
Albert Rapp
2 years
Paired bar charts suck at comparing values. The only reason they're used all the time is because they are easy to create. But there are better alternatives that are just as easy. Here's how to create 4 better alternatives with #rstats.
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@rafalab
Rafael Irizarry
2 years
.@HarvardBiostats 260 Introduction to Data Science starts next week. Course notes and exercises, updated weekly, are publicly available here: https://t.co/6zd2RihTTl GitHub repo with Quarto code is here:
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github.com
Contribute to datasciencelabs/2023 development by creating an account on GitHub.
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@Sanbomics
Mark
2 years
I made a short RNAseq tutorial on generating counts with Salmon for gene-level differential expression. This is currently my preferred workflow for bulk RNAseq analysis as it is easy and more accurate than some commonly used methods. #Bioinformatics
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@Sanbomics
Mark
2 years
RNAseq counting tools are not perfect. I simulated 240 GTEx samples to test multiple tools. Below I show the difference between actual and estimated counts for each simulated sample. But, what is causing this? And will it affect differential expression? (1/7) #Bioinformatics
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@mikelove
Michael Love
2 years
If you like thinking about software design for data science, you should check out @hadleywickham's tidy design guide: https://t.co/CxcTm2CWU4 (re-posting for science)
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@loukesio
Loukas Theodosiou
2 years
Excited to introduce #ggvloc! πŸŽ‰ For everyone working with differential expression datasets & RNAseq data, this can be a game-changer. Visualize & highlight genes of interest in just one line of code Check out the package here: https://t.co/AJl9sNE5C8. Don't forget to give it a ⭐
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