Hao Harry Feng

Excited to share that I've joined @UTHealthHouston as an associate professor in the Department of Biostatistics & Data Science! Grateful for the warm welcome and looking forward to new collaborations, ideas, and adventures ahead. #Biostatistics #NewBeginnings

@jsb_ucla Congratulations, Jessica!

I’m honored to join Fred Hutch as Professor and Program Head of Biostatistics, and as the Donald and Janet K. Guthrie Endowed Chair in Statistics. Excited to be part of a deeply collaborative and scientifically vibrant community with a rich legacy of impact.

A recent estimate by a team of Stanford economists attributes almost a quarter of all US innovation since 1976 to high-skilled, foreign-born individuals. This is despite a difficult immigration system. Let's accelerate innovation!

@zhou_jingtian Congratulations Jingtian!

Finally out! Time discrepancy between 3D genome and mC dynamics during brain development. Great collaboration with Matt, DongSung, Yi, Kangcheng et al. Chongyuan has always been an amazing mentor/collaborator/scientist.

@chongyuanluo @mgheffel @Nature @lab_paredes Congratulations Chongyuan!

Glad to share the peer-reviewed version of the @mgheffel manuscript now in @Nature. In collaboration with @lab_paredes , we studied the chromatin conformation and DNA methylation changes during human hippocampus and frontal cortex development. nature.com/articles/s4158…

“PI starts to revise trainee’s first manuscript draft.”

"Sorry I was late for dinner, I got stuck in a local minimum"

Check out our new tool 'cypress', the first R/Bioconductor package for the power assessment and experimental design for cell-type-specific differential expression (csDE) analysis. academic.oup.com/bioinformatics…

SSGG hosted its second annual social event at #JSM! Participants enjoyed a 1.5-mile walk, jog, or run along the Williamnette River, finishing at Audrey McCall Beach. Great to see everyone!

SSGG organized a dinner at #JSM2024, which saw an excellent turnout and a lively, enjoyable evening for all attendees!

Sad to hear this news. May we all have the privilege of glimpsing the beauty of the universe the way Simons did with Chern-Simons theory.

Excited to share our recent publication on @GenomeMedicine demonstrating the merits of personalized reference panels in signal deconvolution. Our software ISLET is on @Bioconductor. Big congrats to my PhD student Leslie Meng who led the project.

We are excited to share our most recent work on making cell type composition deconvolution more accurate by using personalized reference panels. Guanqun (Leslie) Meng, a PhD student in my lab, took a lead in this project.

@afhuming @yunliunc @4DNucleome Congratulations!

I am glad to share our SnapFISH work to call loops from imaging data. Great collaboration with ⁦@yunliunc⁩, Dr. Bing Ren, Dr. Caterina Strambio-De-Castillia, Dr. Alistair Boettiger and ⁦@4DNucleome⁩ investigators. nature.com/articles/s4146…

"Data visualization is where you start and end a data analysis." -- @rafalab #JSM2023

Downloading more papers than I can read like twitter.com/Extremelol_/st…

@prof_horvath Congratulations Steve, and a stellar talk at JSM 2023.

Mammalian Methylation Consortium unveils key findings: 1) Phylo-epigenetic trees, built on ultra-conserved cytosines, align with known phylogenetic trees - showing evolutionary pressures on epigenetics. 2) Methylation patterns linked to max life span differ from those tied to chronological age, hinting at unique molecular pathways. 3) Yamanaka factors regulate methylation profiles connected to maximum lifespan. #EpigeneticsResearch #Longevity #Evolution science.org/doi/10.1126/sc…

@yingma0107 @BrownBiostats @BrownCCMB Congratulations!

🎉 Thrilled to announce my new role at @BrownBiostats and @BrownCCMB! 🌟 It's been an incredible first week, meeting wonderful, dedicated, and brilliant people driving impactful work in the community. 🙌 Excited for the boundless opportunities ahead at Brown. 📚

Excited to share our new @GenomeBiology paper on personalized gene expression reference in deconvolution. Our method ISLET will help retrieve individual-specific reference panel, and conduct accurate differential expression analysis, at cell type level: genomebiology.biomedcentral.com/articles/10.11…

It is my pleasure to share our recent review work on RNA methylation data analysis. The epitranscriptome is getting tremendous attention! Evaluation of epitranscriptome-wide N6-methyladenosine differential analysis methods academic.oup.com/bib/advance-ar…