Dylan Mann-Krzisnik

Recent convert to machine learning + single-cell biology. Still looking for something witty to add after formal Twitter bio.

[Xinyu Yuan @XinyuYuan402]

A few friends and I started the Multiomics Reading Group a while back, but we never got around to announcing it. So we're doing that now!

Alongside my co-host César Miguel Valdez Córdova and organizer @DylanMannK we have (mostly) weekly presentations from 11 AM-12 PM EST.

[Christophe Tanguay-Sabourin @TanguaySabourin]

Thanks to @SwordHealth and the Sword Foundation, and congratulations to everyone who took part!

[Luca Pinello @lucapinello]

1/6 🍍🍕🧬 What do a photo of Italians savoring pineapple pizza and a synthetic DNA sequence have in common? Both can be intricately crafted by generative AI! Introducing DNA-Diffusion, our AI model set to advance #SyntheticBiology and #GeneRegulation: https://t.co/rK4MzRnvw7

[Ludmer Centre @LudmerCentre]

Find out more about the Ludmer Centre and the single-cell genomics brain initiative.

Watch the full video here:
https://t.co/EOvvXpOxEc

@LudmerCentre @TheNeuro_MNI @DouglasResearch @SilveiraPP @ciusss_ouestmtl @CIUSSS_COMTL @mcgillu @McGillMed

[Oliver Stegle @OliverStegle]

What a nice event brining the community together! AI / health / life / physics.

[Dylan Mann-Krzisnik @DylanMannK]

@ManqiZhou7 @feiwang03 Great work Manqi! And now on Twitter/X @ManqiZhou7, so tune in for more single-cell goodness 😁

[Dylan Mann-Krzisnik @DylanMannK]

Interested in interpretable single-cell multi-omic integration? Check out this work by Zhou et al! Led by @feiwang03 and Yue Li.

Single-cell multi-omics topic embedding reveals cell-type-specific and COVID-19 severity-related immune signatures:
https://t.co/44ssc4dBDY

[Christophe Tanguay-Sabourin @TanguaySabourin]

@evp82 Our paper on our prognostic risk score for chronic pain spread is finally out in @NatureMedicine and officially the first paper from our lab @evp82 ! Thanks and congrats to everyone involved 🥳https://t.co/V9ZxEefvho

[Single Cell Club Montreal @SingleCellClubM]

An awesome event organized by @10xGenomics and @McGillGenome on Single Cell and Spatial genomics is coming up on March 28. Don't miss the talks of world class scientists in SC studies!
@rimuhc @IDIGHProgram @LabStratton @TheNeuro_MNI

[Iturria-Medina @MedinYasser]

📣Multi-omics Molecular Alzheimer’s disease Taxonomy!! Unified Epigenomic, Transcriptomic, Proteomic and Metabolomic AD stratification based on >1800 post-mortem and in-vivo samples.

In @ScienceAdvances journal.

A quick thread 👇
https://t.co/YEZw1eqlXT

[Stratton Lab @LabStratton]

Excited to have our first single cell club meeting tomorrow!! Please join us virtually if you can make it!! #singlecell @SingleCellMedia https://t.co/Fo4KqAnaEZ

[Dylan Mann-Krzisnik @DylanMannK]

@haas_lab @medicine_e Thank you to all of the organizers for this amazing event! Great instructors, speakers and fellow participants 🤩🤩

[Dylan Mann-Krzisnik @DylanMannK]

@M_Chapleau Merci! 😊🤩

[Dylan Mann-Krzisnik @DylanMannK]

FiNNalLLlYYyy (can't stress this enough) out! If you're into EEG-fMRI fusion you may want to check this out 👇

Extracting electrophysiological correlates of functional magnetic resonance imaging data using the canonical polyadic decomposition https://t.co/ywLez6Hmgn

[Dylan Mann-Krzisnik @DylanMannK]

And of course, huge thanks to my master's supervisor Georgios Mitsis for his unflinching support and constant guidance! Also many thanks to @bbme_mcgill!

[Dylan Mann-Krzisnik @DylanMannK]

We propose the canonical polyadic decomposition (aka PARAFAC) for studying EEG correlates of BOLD-fMRI dynamics. There's also something for you fellow computational neuro nerds

[Brain @Brain1878]

Khan et al. use a personalized, multimodal computational model of the brain to identify neurotransmitter receptor changes in Alzheimer’s disease. https://t.co/Cdop7Ox8qO

[Nikolaos Dimitriou @NikosDim3]

Data processing and analysis is an essential step of mathematical modeling. In our recent work we provide an image processing, segmentation and analysis framework for 3D cell culture data. https://t.co/go1Yp1UOGM

[StoP-AD Center @prevent_ad]

Find out what the PREVENT-AD is, what data is made openly available and where to get it @NeuroLibre! Thank you to all who contributed to acquire and make this data available. We look forward to the community using the data! #openscience https://t.co/ZHt1UE4ZoM

[Julia in Neurotech @ju_berezutskaya]

We are sharing a large iEEG-fMRI dataset (>50subjs) from stimulation with a short audiovisual film! Data can be used to study language, auditory, visual, multimodal perception, fMRI-iEEG coupling and more! @UtrechtBCI @MJvanSteensel @gpiantoni
https://t.co/uFUGERPpeE a🧵! 1/5 RT