@CafferyYang

First Year Statistics PhD Student @TAMUstats | Microbiome & Multi-Omics Enthusiast | Developer of ggpicrust2 & MicrobiomeStat

cafferyang.com
Joined June 2022
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Thrilled to be the ONLY UNDERGRADUATE awarded the inaugural Su Binghua Distinguished Biostatistics Scholarship ($2,800) from @Tigermed_Group! This prestigious award recognizes rising biostatistics stars across mainland China. #Biostatistics #AcademicExcellence (1/4)
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Large Language Model Consensus Substantially Improves the Cell Type Annotation Accuracy for scRNA-seq Data biorxiv.org/content/10.1101/… #biorxiv_bioinfo

Large Language Model Consensus Substantially Improves the Cell Type Annotation Accuracy for...

Different large language models (LLMs) have the potential to complement one another. We introduce an iterative multi-LLM consensus framework for annotating single-cell RNA sequencing data. This...

biorxiv.org
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mLLMCelltype: Large Language Model Consensus Substantially Improves the Cell Type Annotation Accuracy for scRNA-seq Data biorxiv.org/content/10.1101/…
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This recognition fuels my passion to contribute to biostatistics and make a lasting impact on clinical research and public health. I'm grateful for the support from my mentors at Southern Medical University. (3/4)
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Excited to carry this momentum as I begin my doctoral journey at @TAMUStats this fall! Thank you @Tigermed_Group for believing in the next generation of biostatisticians! #FutureOfScience #PhDJourney #TAMU (4/4)
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🎉 Thrilled to share that I will be joining @TAMUstats this August to pursue my PhD in Statistics! 📚 Grateful for the incredible support from professors and friends who have been instrumental in my journey. 🙏 Gig 'em, Aggies! 👍 #AggieProud #TAMU #PhDJourney
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Sincere thanks to MD Anderson, U of Colorado, U of Minnesota for their offers, and Weill Cornell, Mayo Clinic, USC, U of Michigan for the interview opportunities. Your support means the world to me! 🙏 #PhDApplication #StatisticsPhD
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I also want to extend my deepest gratitude to all the professors who encouraged and supported me during the application season. Your guidance, advice, and kind words were invaluable to me. I couldn't have done this without you. Thank you from the bottom of my heart. 🙏 #phdlife
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Just wrapped up my PhD interview at Weill Cornell Medicine! 🏥 Now for a quick lunch break 🥪 before diving back into MicrobiomeStat dev 👩‍💻 #PhDlife #bioinformatics
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Time to add some new interactive data viz 📈 and analysis methods 🧐 to MicrobiomeStat! Also on my todo list: improve documentation 📝 and work on that new tutorial on differential abundance testing 📊✏️ #microbiome #biostats
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Regretfully, a recent update to my package introduced several bugs. The root of the issue was a conflict between `plyr` and our main dependency `dplyr`. Both have many functions with the same names but with different or even opposite uses. #Rstats #dplyr #bugalert
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I sincerely apologize to all users affected. The issues have been addressed and fixed. Please don't hesitate to reach out if you encounter any further problems. Your understanding and patience are greatly appreciated. 🙏 #Rstats #bugfix #userfeedback
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📝 new blog post! I wrote up my experience applying to Biostatistics PhDs this past year includes my motivation to apply, application components, lots of advice I received (esp. on my SOP), interview/decision processes, etc. 🔗 khstats.com/blog/phd-apps/ #phdchat #AcademicTwitter

A Biostatistics PhD Application Notebook [with Statement of Purpose] – KHstats

Motivation for applying to Biostatistics PhD programs five years after finishing my MS, with details on the application process and helpful advice I received.

khstats.com
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I missed this before, but this analysis by @Dereklowe in @science is definitely worth a read. He calls our paper (debunking the 2020 cancer microbiome @nature paper) a "cruise missile" 🤣: science.org/content/blog-pos…

Arguing About the Cancer Microbiome

Arguing About the Cancer Microbiome

science.org
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ggpicrust2: an R package for PICRUSt2 predicted functional profile analysis and visualization academic.oup.com/bioinformat… github.com/cafferychen777/gg…

ggpicrust2: an R package for PICRUSt2 predicted functional profile analysis and visualization

AbstractSummary. Microbiome research is now moving beyond the compositional analysis of microbial taxa in a sample. Increasing evidence from large human mi

academic.oup.com
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🌟🙏 Thank you for the incredible support! Our ggpicrust2 GitHub repo hit 40 stars. Your encouragement drives my passion for microbiome analysis. Together, we're advancing microbial community understanding. Onward! 🦠🔬 #MicrobiomeResearch #OpenSourceScience #CommunityPower
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📢 Exciting news for all #ggpicrust2 users! We now have an official Discord channel. Join the conversation, ask questions, and stay updated. Dive into our community now! 🎉 🔗 discord.gg/yaR7FEc8 #RStats #Bioinformatics #DataScience #Community

Discord - Group Chat That’s All Fun & Games

Discord is great for playing games and chilling with friends, or even building a worldwide community. Customize your own space to talk, play, and hang out.

discord.com
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If you like thinking about software design for data science, you should check out @hadleywickham's tidy design guide: design.tidyverse.org (re-posting for science)
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🎉 Exciting news! My manuscript on "ggpicrust2: an R package for PICRUSt2 predicted functional profile analysis and visualization" got accepted in Bioinformatics! Thanks to Prof. Arne Elofsson and the team! #Research #Publication #Bioinformatics #ggpicrust2
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academic.oup.com/bioinformat…

ggpicrust2: an R package for PICRUSt2 predicted functional profile analysis and visualization

AbstractSummary. Microbiome research is now moving beyond the compositional analysis of microbial taxa in a sample. Increasing evidence from large human mi

academic.oup.com
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researchgate.net/publication…

(PDF) ggpicrust2: an R package for PICRUSt2 predicted functional profile analysis and visualization

PDF | Microbiome research is now moving beyond the compositional analysis of microbial taxa in a sample. Increasing evidence from large human microbiome... | Find, read and cite all the research you...

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