Beibei RU

Postdoctoral Fellow, Cancer Data Science Laboratory (CDSL), CCR/NCI/NIH

[Nature Methods @naturemethods]

SecAct: a framework leveraging transcriptomic data to infer secreted protein signaling activities.

https://t.co/JS2qYABWUq

[Peng Jiang @PengJiang20]

Dear All, if you want to check the spatial expression pattern of a gene in tumors, or if you want to know the intercellular signaling activities for over 1000 secreted proteins in your samples, please try our SecAct framework: https://t.co/bl8K4xIVMZ

[Eytan Ruppin, MD, PhD @EytanRuppin]

🚨 Out today in Cell! @CellCellPress

Path2Space: #AI that predicts spatial transcriptomics (ST) from H&E pathology, enabling spatial biomarker discovery in #BreastCancer at scale.

📄 https://t.co/GtrmH9zIDs

🧵1/8

[Peng Jiang @PengJiang20]

Our Cell paper is online (https://t.co/t5bOxlCN8q)! We present the CIDE framework, broadly applicable to cancer research and oncology. Also, we highlight AOAH as a promising new immunotherapy.

[Nature Biotechnology @NatureBiotech]

Spotlight on cancer immunotherapies https://t.co/4EVVmEt7qY

[Eytan Ruppin, MD, PhD @EytanRuppin]

Delighted to announce the publication of our 10 hallmarks of AI in precision oncology Review paper in Nature Cancer! This work provides a comprehensive, up-to-date synthesis of AI’s transformative role in cancer care. Check it out here: https://t.co/DiU1W66MAo

[Beibei RU @bei2ru]

@Zhiliang_Bai @CellCellPress Another amazing study online within just one week! Congratulations, Zhiliang!

[Eytan Ruppin, MD, PhD @EytanRuppin]

🎙️ Tune in to Cancer HealthCast! Discussing our latest AI tool predicting immunotherapy responses, as well as the NCI/CCR Synthesis Clinical Trial this fall and its impact on the treatment of aggressive breast cancer. Listen here: https://t.co/pXmJ1krFFl

[Nancy Zhang @NancyZh60672287]

How do we uncover cell-cell interactions from #SpatialTranscriptomics data? Excited to share Niche-DE (https://t.co/0LSSqYgodz). Niche-DE asks how does a cell’s transcriptome depend on its spatial neighbors, by identifying Niche-Differentially Expressed genes. 1/9

[Nature Communications @NatureComms]

Recently published: @bei2ru @PengJiang20 @NCIEytanRuppin develop Spatial Cellular Estimator for Tumors (SpaCET) to infer cell types and ligand-receptor interactions from #SpatialTranscriptomics data in cancer

#CancerResearch @natrescancer

https://t.co/swplfEXITu

[Peng Jiang @PengJiang20]

We have released the SpaCET package for cell lineage deconvolution and cell-cell interaction inference in Tumor Spatial Transcriptomics:
https://t.co/5R7aYMMinR
Welcome to try our package: https://t.co/SwcmEjzZre
Congratulations to Dr. Beibei Ru and Dr. Jinlin Huang.

[Eytan Ruppin, MD, PhD @EytanRuppin]

What are the big-data analyses that transformed the understanding, diagnosis & treatment decisions of cancer?

The next challenges to push this even further? & a compilation of all the major big-data resources to assist in this.
Our review's full version: https://t.co/DY5oJbI8Sx

[Peng Jiang @PengJiang20]

We are very excited to release our Tres framework to evaluate T-cell anti-tumor efficacy, and FIBP as a candidate immunotherapy target.

The paper is published on Nature Medicine: https://t.co/mCLCIEwdcY

The Tres server is available at: https://t.co/skcWXvnBh3

[Peng Jiang @PengJiang20]

Discover immunotherapy biomarkers from single-cell cytometry data: https://t.co/FgxFzpyg69

A short preview article we wrote to highlight a recent publication and briefly summary the relevant literature.

[Peng Jiang @PengJiang20]

We are very excited to release our CytoSig web framework to help immunologists with cytokine signaling research.

The paper is published on Nature Methods: https://t.co/LMwdxHU96F

The CytoSig server is available at: https://t.co/3WW4gfkUDN