Stanford Plevritis Lab

The Cancer Systems Biology Lab at Stanford, led by PI Sylvia Plevritis, is working to improve early detection and treatment strategies for individual patients.

[Jian Ma @jmuiuc]

Wendy Yang in the lab reviewed the existing ML methods (prediction & interpretation) for predicting 3D genome features using DNA sequences. This will be in a Special Issue @JMolBiol on AI/ML for mol bio edited by @james_y_zou @PlevritisLab @Hongzhe_K_Lee. https://t.co/kJbgQqg2HW

[Stanford Plevritis Lab @PlevritisLab]

This work was spearheaded by Dr. Weiruo Zhang, along with @irenoplasm @RetickerFlynn @GoodZinaida and advised by @Qle_stanford @askyperson @JohnSunwooMD @GarryPNolan

[Stanford Plevritis Lab @PlevritisLab]

We're excited to share the final version of the CELESTA paper - a new method to identify cell types in multiplexed imaging!

CELESTA is available on github: https://t.co/6ybdRsGaUN

[Nature Methods @naturemethods]

CELESTA from the @PlevritisLab is an unsupervised cell type identification method for multiplexed in situ imaging. It identifies cell types based on the expression profiles of cells and their spatial information.
https://t.co/uUKVNjeHg2

[Nathan Reticker-Flynn @RetickerFlynn]

Tumors spread to lymph nodes before they metastasize to distant tissues, but for over a century scientists have debated whether this matters. It does. Check out our paper online now @CellCellPress @CellPressNews
https://t.co/WLPnoPtFhN

1/15

[Stanford Plevritis Lab @PlevritisLab]

...but this work could not be possible without our interdisciplinary team at @StanfordMed: Yuanyuan Li, @irenoplasm, Michael Ozawa, @christineyyeh, @aechiou, Winston Trope, Jonathan Taylor, Joseph Shrager, @PlevritisLab

[Stanford Plevritis Lab @PlevritisLab]

Cellular crosstalk is fundamental to tissue biology. We are very excited to share our novel computational method - REMI - for reconstructing cell-cell communication from omics data! Read the article here: https://t.co/vyIlbOSRer

[Stanford Plevritis Lab @PlevritisLab]

This work was spearheaded by the phenomenal @aliceomics as her graduate work in @StanfordDBDS and @stanfordbmi...

[T Hernandez-Boussard @boussard]

What a great panel with these rockstars highlighting the importance of mentorship, diversity, and team science!! #WiDS2022 Data Science in Healthcare: Opportunities & Challenges ⁦@PlevritisLab⁩ @tanveersyedama1 ⁦@JYazdanyMD⁩

[Iakovos Toumazis 🇨🇾 @IToumazis]

Excited to hosting my mentor Dr Sylvia Plevritis from @PlevritisLab @StanfordDBDS at this week's Cancer Prevention & Control Grand Rounds @MDAndersonNews. Join us to learn from a renowned expert how simulation models can offer insights on cancer biology & outcomes. Can't wait!

[StanfordDBDS @StanfordDBDS]

New results from the @PlevritisLab now available in "Identification of cell types in multiplexed in situ images by combining protein expression and spatial information using CELESTA reveals novel spatial biology!" #CancerResearch #DataScience https://t.co/J5EJSuElGK

[Stanford Plevritis Lab @PlevritisLab]

@irenoplasm @RetickerFlynn @GarryPNolan @askyperson @Qle_stanford @JohnSunwooMD Supported by @StanfordDBDS @stanfordcbio @StanfordPath
@StanfordRad @StanfordCancer @NCIResearchCtr - please like and RT!

[Stanford Plevritis Lab @PlevritisLab]

We're excited to announce CELESTA, an algorithm that identifies cell types in multiplexed images!

Read the preprint: https://t.co/HngfsUbgIG

[Stanford Plevritis Lab @PlevritisLab]

Using CELESTA, we ID'd novel tissue morphology specific to lymph node metastasis in head and neck cancers.

This project was pioneered by Dr. Weiruo Zhang + support from @irenoplasm @RetickerFlynn @GarryPNolan @askyperson @Qle_stanford @JohnSunwooMD

https://t.co/HngfsUbgIG

[Cambridge Centre for AI in Medicine (CCAIM) @CC4AIM]

The new CCAIM Seminar Series, bringing you the world leaders in #AI and #ML for healthcare, kicks off on 10 Feb 2021. Each free online seminar is followed by a live Q&A with our distinguished speaker. Find out more, and sign up https://t.co/4dxCcAFxPT

[Stanford Plevritis Lab @PlevritisLab]

Announcing our newest work on spatial fibroblast heterogeneity and #glycosylation, out now in @CR_AACR and led by Dr. Gina Bouchard @Gina78593734!

https://t.co/Oj8wtZ8utk

[Nature Communications @NatureComms]

Are you a cancer researcher and interested in an editorial career? We have a job opening for 2022.

If you have experience in pre-clinical or clinical CANCER RESEARCH we'd love to hear from you!
https://t.co/oxb9GqYzMH

@katieridd for questions!

#CancerResearch @NatResCancer

[Julien Sage @SageJulien]

Please RT: faculty position at Stanford! PhD, MD, MD/PhD candidates in the broadly-defined fields of pediatric cancer or stem cell transplant, laboratory and/or computational research programs welcome. Amazing environment! Feel free to contact me + check: https://t.co/srWzDtSuDf

[Journal of Molecular Biology @JMolBiol]

Preparations are underway for the 2022 Special Issue "Machine learning and AI for molecular biology" guest edited by @james_y_zou and @PlevritisLab @stanford and @Hongzhe_K_Lee @PennMedicine! See the detailed call for research articles at the link below
https://t.co/0HHSxTOIIK