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Network Modelling Research Group @ Koç University #systemsbiology #networks #multiomics #dataintegration

Istanbul/Koc University
Joined July 2022
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Our new tool, pyPARAGON, for network-based omic data integration is now online! @KaanariciM 👏👏
Unveiling Hidden Connections in Omics Data via pyPARAGON: an Integrative Hybrid Approach for Disease Network Construction biorxiv.org/cgi/content/shor… #bioRxiv
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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.
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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.
Neurodevelopmental disorders and cancer networks share pathways; but differ in mechanisms, signaling strength, and outcome biorxiv.org/cgi/content/shor… #biorxiv_sysbio
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Congrats to Bengi Ruken Yavuz on her paper. She have recently presented this work as a poster at RECOMB-CCB sattelite meeting.
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Despite cancer-wide existence of a set of driver genes, having double mutations in those genes is cancer type specific.
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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.
Replying to @bengiruken
@bengiruken, @ntuncbag et al use a statistical methodology to identify potential latent driver mutations from public cancer bulk sequencing data. @NetLab14 nature.com/articles/s42003-0…
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🎉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 🔽 pubs.rsc.org/en/content/arti…
@KaanariciM has presented his method called PageRank-flux on graphlet-guided-network method(PRO-GGNet) for pathway reconstruction & multi-omic data integration.
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Yıldız Aydın has presented her work on interaction of SMN with microtubule-associated proteins by network analysis.
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@minikasap and Sertan Ali Dikli’s poster was on driver gene identification by using community detection and network dismantling methods.
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@sina_dadmand gave a presentation about drug response prediction using graph-level analysis on omics data.
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