Anjun Ma

Assistant Professor in the Department of Biomedical Informatics, OSU. #SingleCell, #metagenomics, #DeepLearning, #CancerResearch. @MaTRIX_Lab

[Anjun Ma @anjunma90]

It's time for spatial and single-cell intratumoral microbiome analysis! @wen_haitao let's do this!

[Qin Ma BMBL @QinMaBMBL]

Microbes play critical roles in the tumor microenvironment. Analyzing #intratumoral microbes in immuno–oncology–microbiome from host samples/cells is becoming a trend. Here, we focus on the intratumoral microbiome in #IOM and describe the available data and ...

[Anjun Ma @anjunma90]

One of my most important works in the past three years! It witnessed my growth from a PhD to a Research Scientist😂. So proud that we finally made it!

[Qin Ma BMBL @QinMaBMBL]

We are thrilled to announce that our DeepMAPS for #scMultiomics and #GRN inference is open access on @NatureComms! It is useful to infer cell-type-specific gene regulatory mechanisms in complex tissues and #CancerResearch. https://t.co/BQDU5Ct9mr

[Anjun Ma @anjunma90]

We made it! Cheers 🍻🍻

[Qin Ma BMBL @QinMaBMBL]

Glad to announce that our scDEAL has been published on @NatureComms! It predicts single-cell drug responses in cancer by integrating single-cell and bulk RNA-seq data using a deep transfer learning framework. @DongXu10710609 @anjunma90 @OhioStatePIIO https://t.co/WldF3mr8c4

[Anjun Ma @anjunma90]

@wen_haitao @OhioStatePIIO Very happy to be involved in this fascinating project! Congrats!🎉🎉

[Pelotonia Institute for Immuno-Oncology @OhioStatePIIO]

Congrats to @Cosm_Shawn @anjunma90 @carter_allen_ Dongjun Chung @carter_allen_ & @zihai et al. for their paper introducing RESEPT, a novel tool that represents and recognizes tumor, non-tumor, and tumor infiltration architectures in GBM. https://t.co/8c7qEr897Y #ImmunoInformatics

[Anjun Ma @anjunma90]

Big Congrats! We should have a party for this! 🥳🥳

[Qin Ma BMBL @QinMaBMBL]

It is my great honor to be appointed as the Section Chief of Computational Biology and Bioinformatics in the Department Biomedical Informatics at OSU. I would like to thank everyone that supported me @Zihai @PIIO_OSU @TriStateSenNet @PECGSnetwork. Let's grow BMI better together💪

[Stefania Giacomello @giacomello_lab]

New method alert!🚨We're thrilled to present #Spatial #metaTranscriptomics (SmT) to detect #host-#bacteria-#fungi #interactomes in tissues. Collaboration between @sami_saar in my lab and @orshalevsk, @Haim_Ashkenazy, @DerekSeveri, Vanessa in @PlantEvolution lab.Main findings in🧵

[Anjun Ma @anjunma90]

BIG CONGRATS! So proud to be one of the BMBL members.

[Qin Ma BMBL @QinMaBMBL]

We are pleased to announce that Dr. Qin Ma will serve as the leader of the Immuno-Oncology Informatics Group (IOIG) within the Pelotonia Institute for Immuno-Oncology (PIIO) at the OSUCCC – James. Cheers! @PIIO_OSU @Zihai @QinMaBMBL https://t.co/O0LWe0PGXE

[TriState SenNet TMC @TriStateSenNet]

We had a wonderful time at the TriState SenNet Conference with our teams from @PittDeptofMed @UR_Med @OSUWexMed @CMUCompBio last week. Can't wait to see everyone again! #TriStateTogether @sennetresearch @NIH_CommonFund

[Qin Ma BMBL @QinMaBMBL]

Have interests in single-cell multi-omics and immuno-oncology? Check our fresh comment paper entitled "The use of single-cell multi-omics in immuno-oncology" on @NatureComms. @anjunma90 @GangXin1. https://t.co/oR96DDnXvg

[Anjun Ma @anjunma90]

So proud to be involved in such fantastic work! 🎉🎉

[Zihai Li, MD, PhD @Zihai]

My #Tweetorial on our recent work on the roles of T cell intrinsic #androgen receptor (AR) in CD8+ T cell exhaustion in cancer.

1/n
Link to the original paper:
https://t.co/PkDO28uXCc

Press release for the public:
https://t.co/Fqnxfdl4jQ

[Hyunwoo (Tony) Kwon, MD PhD @t_kwon92]

Finally gave in to twitter, but here is an exciting first tweet on our work! So grateful to @schafeJoj and all other collaborators- and of course, @Zihai for mentorship (and an excellent #tweetorial)!

[Anjun Ma @anjunma90]

I am really excited to attend Front Line Genomics's latest event: "Single cell and Spatial Omics ONLINE - Webinar 2: Single-cell multi-omics – approaches and analysis" Register via the link below https://t.co/r7WoKG6aH0 @FLGenomics

[Anjun Ma @anjunma90]

@Cosm_Shawn 大神求带！！

[Nature Communications @NatureComms]

.@juexinwang @anjunma90 @QinMaBMBL @DongXu10710609 present scGNN, a deep learning framework for gene expression and cell-cell relationships from scRNA-seq data.

https://t.co/U3wzigaz9h

[Anjun Ma @anjunma90]

@FaithBrennan01 @McPopLab_OSU @ints2020 @SciSemple @MarcRuitenberg Wow! Congrats!

[Anjun Ma @anjunma90]

I feel so lucky to be part of the BMBL lab and thanks to everyone who supported my back!

[Qin Ma BMBL @QinMaBMBL]

Congratulations to @anjunma90 to pass his Ph.D. defense and become the first Ph.D. student who graduated from the BMBL lab. Many great works and papers have been done by him in the past three years! Good job and way to go!

[Anjun Ma @anjunma90]

This is so impressive!

[Joshua Ho @joshuawkho]

We substantially updated #starmapVR to include visualisation of single cell and spatial omic data. Nice collaboration with @kevin_tsia who created this amazing video! Preprint: https://t.co/kWRzi6JvIc

[Qin Ma BMBL @QinMaBMBL]

Cell-type-specific gene regulations in diseases deserve deeper investigations. Check our newest review paper "Elucidation of Biological Networks across Complex Diseases Using Single-Cell Omics". @anjunma90 @YangLi28840559 https://t.co/m4VPM2xF6w

[Qin Ma BMBL @QinMaBMBL]

Here comes a single-cell RNA-seq #Alzheimers database developed based upon our IRIS3 server. We included annotated AD neuron clusters and cell-type-specific regulons by different conditions😎. scREAD: A single-cell RNA-Seq database for Alzheimer's Disease https://t.co/oXDZVmHFFv