On #WorldLungCancerDay, we are very excited to share our latest paper @AdvSciNews on a novel bioengineered lung tumor model which mimics the aberrant sulfation of tumor matrices! 🫁 🧫🔬🧬
Full text: https://t.co/dlLCjCMGw7
Unveiling Hidden Connections in Omics Data via pyPARAGON: an Integrative Hybrid Approach for Disease Network Construction https://t.co/EhoOc86tuc #bioRxiv
Sina Dadmand and Şeyma Benge Uysal's work on the functional stratification of cancer drugs through integrated network similarity and exploring drug resistance patterns among cell lines, was presented by Sina Dadmand @RECOMBconf conference.
Our new preprint is now online! Bengi (@bengiruken)-Kaan (@KaanariciM)-Cansu (@hcansud) worked together to show that networks of neurodevelopmental disorders and cancer can have shared mutations, proteins, and pathways differing in mechanisms, signaling strength, and outcomes.
Cancer latent drivers can additively intensify the signal when coupled with other activating mutations. They have low frequency and escape idenfication. In this study, we explored the potential impact of “latent drivers” on cancer progression and cataloged 155 latent drivers.
@bengiruken, @ntuncbag et al use a statistical methodology to identify potential latent driver mutations from public cancer bulk sequencing data.
@NetLab14
https://t.co/6Wkw26JZvT
🎉Rounding out this first week of our Emerging Investigators highlights is Nurcan Tuncbag @ntuncbag with this excellent review on multi-omics computational approaches and their clinical applications!
Read it in full below 🔽
https://t.co/1QR2BfRLMi
Our COVID-19 study is out. A great collaboration we had with @NozluLab, @ntuncbag, @NetLab, @oergonul1, Fusun Can @kuiscid to determine COVID-19 associated network in plasma. @KUTTAM, @KocSciences
https://t.co/oxBXpLtD2s
Our COVID-19 study is out. A great collaboration we had with @NozluLab, @ntuncbag, @NetLab, @oergonul1, Fusun Can @kuiscid to determine COVID-19 associated network in plasma. @KUTTAM, @KocSciences
https://t.co/oxBXpLtD2s
@KaanariciM has presented his method called PageRank-flux on graphlet-guided-network method(PRO-GGNet) for pathway reconstruction & multi-omic data integration.