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Ying Ma Profile
Ying Ma

@yingma0107

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Statistical genetics and genomics. Assistant Professor at Brown Biostats @BrownBiostats and Brown CCMB @BrownCCMB

Providence, RI
Joined July 2019
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@yingma0107
Ying Ma
4 months
๐ŸŽ‰ Thrilled to share our latest method, IRIS, now published in @naturemethods ๏ผIRIS is a robust statistical and computational method designed to decode the spatial organization of tissues. It efficiently detects biologically interpretable spatial domains across multi-samples.
@naturemethods
Nature Methods
4 months
Integrative and reference-informed tissue segmentation (IRIS) from Ying Ma & Xiang Zhou harnesses scRNA-seq data for the accurate identification of spatial domains in spatially resolved transcriptomics. IRIS is uniquely suited for analyzing large datasets.
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@yingma0107
Ying Ma
6 months
I am honored to receive the pilot award and grateful for the opportunity to advance our research!
@BrownBiostats
Brown Biostatistics
6 months
Congratulations to Ying Ma, Ph.D., Assistant Professor of Biostatistics, for receiving the American Cancer Society Institutional Research Grant Pilot award! @Brown_SPH | ๐Ÿ”—
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@yingma0107
Ying Ma
2 years
Check out our recent work CARD, a computational fast and memory efficient statistical tool to (1) perform spatially informed cell type deconvolution with or without single cell RNAseq (scRNA-seq) reference
@NatureBiotech
Nature Biotechnology
2 years
Spatially informed cell-type deconvolution for spatial transcriptomics
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@yingma0107
Ying Ma
1 year
๐ŸŽ‰ Thrilled to announce my new role at @BrownBiostats and @BrownCCMB ! ๐ŸŒŸ It's been an incredible first week, meeting wonderful, dedicated, and brilliant people driving impactful work in the community. ๐Ÿ™Œ Excited for the boundless opportunities ahead at Brown. ๐Ÿ“š
@BrownBiostats
Brown Biostatistics
1 year
We are pleased to welcome our new Assistant Professor of Biostatistics Ying Ma, PhD to @BrownUniversity @Brown_SPH Department of Biostatistics. Welcome Ying! ( @yingma0107 )
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@yingma0107
Ying Ma
9 months
Big Congratulations, Dr. Gao @cgao90 ๐ŸŽ‰๐ŸŽŠ๐ŸŽˆ๐Ÿพ
@LabWelch
Josh Welch
9 months
Very proud of my student Chao Gao @cgao90 who successfully defended his dissertation today! Chao did outstanding work and will join AbbVie as a senior scientist in computational biology after graduation.
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@yingma0107
Ying Ma
8 months
Big Congratulations to @xiangzhoulab and @LabWelch and all the outstanding scientists!
@UMichResearch
Michigan Research
9 months
The @UMich โ€™s Biosciences Initiative has selected five accomplished scientists as the 2024 recipients of the Mid-career Biosciences Faculty Achievement Recognition Award.
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@yingma0107
Ying Ma
2 years
Our work on Exposure Polygenic Risk Scores (ExPRS) is now online @AJHGNews . We share all ExPRS constructs and results via an online interactive repository here:
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@yingma0107
Ying Ma
2 years
Check our groupโ€™s new paper discussing the zero inflation problems in spatial transcriptomics๏ผA comprehensive analysis on 20 spatial transcriptomics data sets across 11 different technologies performed by Peiyao Zhao!
@GenomeBiology
Genome Biology
2 years
Zhao, @xzlab_org & co present a study of excessive zeroes in spatial transcriptomics. In 20 datasets using 11 different technologies, genes can be modeled with Poisson or negative binomial, showing that accounting for zero inflation is not necessary
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@yingma0107
Ying Ma
6 months
Congrats on the great work published in @GenomeBiology ๏ผ
@SunShiquan
Shiquan Sun, PhD
6 months
Our new method, TDEseq has been published on @GenomeBiology . It primarily builds upon a linear additive mixed model framework to facilitate the detection of four potential temporal gene expression patterns, i.e., growth, recession, peak, or trough.
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@yingma0107
Ying Ma
10 months
A Bayesian polygenic risk score (PRS) method that leverages shared genetic effects across ancestries to increase PRS portability
@juhyunk_
Juhyun Kim
10 months
BridgePRS leverages shared genetic effects across ancestries to increase polygenic risk score portability #journals #feedly
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@yingma0107
Ying Ma
1 year
๐ŸŽ‰๐Ÿ‘Big congratulations to Dr. @BhramarBioStat on this well-deserved achievement! ๐ŸŒŸ We are truly blessed to have such an exceptional and inspiring leader in our Umich Biostats department. ๐ŸŒŸ Thank you for your continuous support and invaluable suggestions!
@BhramarBioStat
Bhramar Mukherjee
1 year
Cannot believe this happened. A surreal feeling. I had a planned thread and a composed reaction but cannot remember a word of it. Tears of joy in my eyes this evening to receive the highest professorship of this magnificent University...Thanks @UMich @umichsph @UMRogelCancer
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@yingma0107
Ying Ma
1 year
@roberta_devito Congratulations!๐ŸŽŠ๐ŸŽ‰๐ŸŽˆ
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@yingma0107
Ying Ma
3 years
Check our new manuscript "ExPRSweb - An Online Repository with Polygenic Risk Scores for Common Health-related Exposures" () as well as our comprehensive interactive online repository of exposure PRS ().
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@yingma0107
Ying Ma
8 months
Congragts, Maria! Fantastic work!
@mariabrbic
Maria Brbic
8 months
Our ๐ŸชSATURN method is now out in @naturemethods ! SATURN paves the way for universal cell embeddings, enabling integration of datasets across different species ๐Ÿ’๐Ÿ๐Ÿง๐ŸŸ๐Ÿธ Using protein language models, we encode biological meaning of genes in scRNA-seq datasets.
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@yingma0107
Ying Ma
10 months
Congrats! ๐ŸŽ‰๐ŸŽŠ๐Ÿพ
@StableMarkets
Arman Oganisian
10 months
Excited to share that @PCORI has awarded funding for our proposed work developing Bayesian machine learning methods for causal inference! Thanks to Roee Gutman (co-PI) & others at @Brown_SPH @Brown_Epi @BrownUResearch @BrownMedicine @BrownUniversity
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@yingma0107
Ying Ma
2 years
Very nice work๏ผ @_JiEun_Park_
@_JiEun_Park_
Ji-Eun Park
2 years
Excited to share this work, collab with @mikelove et al!! Diffsig can test the association btwn mutational signatures and โ€œrisk factorsโ€ which can be any variables of interest โ€“ continuous or categorical โ€“ and multiple risk factors can be tested at once:
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@yingma0107
Ying Ma
11 months
Congratulations!๐ŸŽ‰๐ŸŽŠ๐Ÿพ๐ŸŽˆ
@jsb_ucla
Jingyi Jessica Li (ๆŽๅฉง็ฟŒ)
11 months
Our single-cell RNA-seq and ATAC-seq read simulator scReadSim is now online at @NatureComms scReadSim mimics real data at read-sequence and read-count levels, and it provides ground truths: UMI counts for RNA-seq and open chromatin regions for ATAC. 1/
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@yingma0107
Ying Ma
2 years
Amazing work๏ผ
@minouye271
Mike Inouye
2 years
๐Ÿ“ฃ๐Ÿ“ฃ Latest paper from the lab just out @Nature ! An atlas of genetic scores to predict multi-omic traits A new community resource to genetically impute multi-omics data at population-scale. Check out OmicsPred portal
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@yingma0107
Ying Ma
4 months
@XiuweiZhang @ayirpelle @naturemethods Thank you for your kind words! Looking forward to connecting with you in future conferences!
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@yingma0107
Ying Ma
1 year
@DrMingyaoLi @BrownBiostats @BrownCCMB Thank you very much, Dr. Li! Learned a lot from your work!
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@yingma0107
Ying Ma
3 years
@_JiEun_Park_ @shang_lulu @WancenM @FennecPaaaw It was so happy to meet and chat with you all๏ผHope we can meet again in future conferences๏ผ
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@yingma0107
Ying Ma
2 years
@GuTian_TianGu @BhramarBioStat Congratulations, Tian!
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@yingma0107
Ying Ma
1 year
@KarthikeyaniC Thank you, Karthikeyani! Also big congrats on your new position! Looking forward to potential collaborations!
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@yingma0107
Ying Ma
3 years
@cgao90 Congratulations๏ผSo happy for you๏ผ
@NatureBiotech
Nature Biotechnology
3 years
Iterative single-cell multi-omic integration using online learning
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@yingma0107
Ying Ma
1 year
@xubo_yue @Northeastern Congrats! Professor Yue to-be! Happy for you!
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@yingma0107
Ying Ma
2 years
(2) impute cell type compositions and gene expression levels, thus enabling the construction of a refined spatial tissue map.
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@yingma0107
Ying Ma
1 year
@emilyk_roberts @BrownBiostats @BrownCCMB Thank you so much for your support, Emily!
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@yingma0107
Ying Ma
1 year
@FennecPaaaw @GenomeBiology Congratulations! ๐ŸŽ‰๐ŸŽŠ๐ŸŽˆ
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@yingma0107
Ying Ma
1 year
@lmwebr @NatureComms Congratulations! ๐ŸŽ‰ ๐ŸŽ‰ ๐ŸŽ‰
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@yingma0107
Ying Ma
1 year
@LabWelch @JialinLiuSKP Big congratulations๏ผ๐Ÿ‘๐Ÿ‘๐Ÿ‘๐Ÿ‘๐Ÿ‘๐Ÿ‘
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@yingma0107
Ying Ma
1 year
@yunliunc @NatureGenet @YinShenLab @LiGanLab Congratulations! ๐ŸŽ‰๐ŸŽŠ๐Ÿพ
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@yingma0107
Ying Ma
1 year
@Iqbalhu76038412 Thank you for your interest in my research! We are always open to working with motivated and talented students. However, the PhD admissions process in our department is managed though the Admission Committee. For more information, please see
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@yingma0107
Ying Ma
6 months
@shang_lulu Thank you for your support, Lulu!
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@yingma0107
Ying Ma
1 year
@AbhayHukkuBST Thank you, Abhay! I hope all is well with you!๐Ÿ˜Š๐Ÿ’ช๐Ÿ˜€
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@yingma0107
Ying Ma
4 months
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@yingma0107
Ying Ma
1 year
@SatpathyOnTruth Thank you, Dr. Satpathy!
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@yingma0107
Ying Ma
6 months
@Iam_mfawad Thank you!
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@yingma0107
Ying Ma
2 years
The correct link of our ExPRSweb repository is here:
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@yingma0107
Ying Ma
1 year
@EnCheng23 Thank you, Prof. Cheng! Congrats on your new position, too! ๐ŸŽ‰๐ŸŽ‰๐ŸŽ‰๐ŸŽ‰
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@yingma0107
Ying Ma
6 months
@BhramarBioStat @umichsph @YaleSPH Huge congratulations! Wish you all the best in your new journey!
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@yingma0107
Ying Ma
4 months
2. We benchmarked IRIS against diverse methods and demonstrated its advantages through in-depth analysis of six SRT datasets from different technologies including 10x Visium, ST, Slide-seq, Vizgen MERFISH, Stereo-seq, and 10x Xenium across various tissues.
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@yingma0107
Ying Ma
1 year
@diwwang Thank you for your support, Di! Miss the time we spent together!
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@yingma0107
Ying Ma
1 year
@lmwebr @BUBiostats @BUSPH Big congratulations, Lukas! ๐ŸŽ‰๐ŸŽŠ๐Ÿพ๐ŸŽˆ
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@yingma0107
Ying Ma
6 months
@BoWang87 Thank you!
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@yingma0107
Ying Ma
1 year
@weizhouw @CGM_MGH @harvardmed @broadinstitute @StanleyCenter Congratulations! ๐ŸŽ‰๐ŸŽŠ๐Ÿพ๐ŸŽˆ
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@yingma0107
Ying Ma
1 year
@DrMingyaoLi @NatureComms @ZhangQihuang @PennGGEB @UPennDBEI Great work! Congratulations! ๐ŸŽ‰ ๐ŸŽ‰๐ŸŽ‰
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@yingma0107
Ying Ma
6 months
Congratulations on the great work! ๐ŸŽ‰๐ŸŽ‰๐ŸŽ‰
@DurenZhana
Zhana Duren้ƒฝไปๆ‰Ž้‚ฃ
6 months
Excited to share our paper in @NatureBiotech : Linger, a computational method for gene regulatory network inference from single cell multiome (RNA+ATAC) data.
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@yingma0107
Ying Ma
2 years
@_JiEun_Park_ Thank you very much!!!!! ๐Ÿ’ช๐Ÿ’ช๐Ÿ’ช
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@yingma0107
Ying Ma
6 months
@Ella_Maru Thank you!
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@yingma0107
Ying Ma
1 year
@MFawad02 Thank you, Muhammad!
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@yingma0107
Ying Ma
2 years
@emilyk_roberts Big congrats๏ผEmily๏ผ
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