Clint Miller

@clintomics

Human genomicist, Assoc Prof @UVA. Deconvolving complex cardiovascular diseases using systems genetics and single-cell omics.

Charlottesville, VA

Joined April 2013

539Following

2KFollowers

Clint Miller@clintomics · May 21

Latest news feature in @NatureBiotech on recent developments in spatial biology to unravel disease mechanisms, with insights from experts in field @aruthak @NeBanovich @AI4Pathology @PDulaiMD Jasmine Plummer, Amanda Orr etc nature.com/articles/s4158…

clintomics's tweet card. Nature Biotechnology - As the next generation of spatial transcriptomics tools hits the market, researchers are uncovering previously unknown interactions that could transform clinical research.

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ATVB: An AHA Journal@atvbahajournals · Apr 1

The 9p21 risk locus — the first and most impactful CAD genetic risk factor in humans — drives VSMCs to adopt an osteochondrogenic state, promoting calcification @clintomics @valelosardo ahajrnls.org/3E59c3h

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Valentina Lo Sardo@valelosardo · Mar 30

Thrilled to share the🥇paper from the lab @atvbahajournals. Here we continue to unravel the mysteries of the 9p21.3 CAD locus showing it drives VSMC transition into an osteochondrogenic state, promoting calcification. @clintomics @UWMadisonCRB ahajournals.org/doi/10.1161/AT…

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Athero-Express@atheroexpress · Mar 7

🚀 Thrilled to announce our latest #preprint on intraplaque haemorrhage (IPH) quantification and molecular 🧬characterisation of carotid plaques using deep learning. A thread 🧵👇🏽

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Clint Miller@clintomics · Feb 11

Trump's slashing of NIH indirects blocked for now in 22 states but not VA. Will the "peoples protector" Attorney General @JasonMiyaresVA stand up for Virginia researchers and doctors and their work to cure cancer, heart disease, diabetes, and more?

KKyle Cheney@kyledcheney · Feb 10

JUST IN: A federal judge in Massachusetts has blocked the Trump administration's rate change to NIH grants.

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Clint Miller@clintomics · Jan 22

Huge congrats to PhD student @John_S_IV for successfully defending his thesis today! Thanks to the committee and everyone for their support. @shefflab @uva_bims @MedicineUVA

clintomics's tweet image. Huge congrats to PhD student @John_S_IV for successfully defending his thesis today! Thanks to the committee and everyone for their support. @shefflab @uva_bims @MedicineUVA

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Clint Miller@clintomics · Jan 16

New model for multimodal spatial omics analysis, MISO, performs feature extraction, clustering and handles large-scale omics data. Includes extensive benchmarking and application to various cancer types. ⁦@DrMingyaoLi⁩ ⁦@naturemethods⁩ nature.com/articles/s4159…

clintomics's tweet card. Nature Methods - MISO (MultI-modal Spatial Omics) integrates two or more spatial omics modalities, despite differences in data quality and spatial resolution for improved feature extraction and...

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Clint Miller@clintomics · Jan 9

New expression foundation model, GET, predicts gene expression in unseen cell types and context specific TF interaction networks - pretrained on chromatin accessibility data from 213 human adult and fetal cell types. @nature @ericxing @RabadanColumbia nature.com/articles/s4158…

clintomics's tweet card. Nature - A foundation model learns transcriptional regulatory syntax from chromatin accessibility and sequence data across a range of cell types to predict gene expression and transcription factor...

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Clint Miller@clintomics · Jan 9

New generative model, IMPA, predicts cell morphology responses to genetic and drug perturbations, enhancing phenotypic screening and drug discovery. Corrects batch effects and models unseen perturbations. @NatureComms @mo_lotfollahi @fabian_theis doi.org/10.1038/s41467…

clintomics's tweet card. Nature Communications - Predicting morphological impacts of perturbations using computational methods can aid treatment discovery. Here, authors present IMPA, a generative model that predicts...

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Clint Miller@clintomics · Dec 28

Delineating the effective use of self-supervised learning in single-cell genomics ⁦@NatMachIntell⁩ ⁦@fabian_theis⁩ nature.com/articles/s4225…

clintomics's tweet card. Nature Machine Intelligence - Self-supervised learning techniques are powerful assets for enabling deep insights into complex, unlabelled single-cell genomic data. Richter et al. here benchmark the...

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Clint Miller@clintomics · Dec 18

Very grateful and humbled to receive promotion to tenure @MedicineUVA! Huge thanks to my supportive mentors, colleagues, family, and talented trainees who continue to inspire me along this journey. Here’s to the work ahead!

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Vladimir Shitov@shitov_happens · Dec 13

The number of cells in single-cell transcriptomics studies grew exponentially over the years. But what about the number of donors? Let me tell you the story of my contribution to the fantastic paper of @SikkemaLisa and @KHrovatin. Read the paper: nature.com/articles/s4159… 1/12

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Stephen Quake@StephenQuake · Dec 9

Virtual cell models have the potential to transform biological research. Today @ChanZuckerberg released an initial set of models, including scGenePT and SubCell, designed to be easy to run and build upon. This is a really exciting time in biology. czi.co/4g1jTSa

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Clint Miller@clintomics · Nov 26

New method CellANOVA recovers lost biological signals and evaluates global and gene level distortions introduced from common single-cell batch correction algorithms ⁦@NatureBiotech⁩ github.com/Janezjz/cellan… nature.com/articles/s4158…

clintomics's tweet card. CellANOVA: Cell State Space Analysis of Variance for signal recovery in single cell batch integration - Janezjz/cellanova

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Junedh M. Amrute@junedh_amrute · Nov 14

We use Multiome and HiC to build a comprehensive single cell variant to enhancer to gene map for coronary artery disease. Join effort with @PaulChungrohLee and IttaiEres in Nate Stitziel Lab and in collaboration with @Amgen @WUSTLmed medrxiv.org/content/10.110…

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