Author

Naziha Mansuri

University of TurkuORCID 0000-0002-1606-8478Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Anna VähärautioiD· 2 shared Antti HäkkineniD· 2 shared Erdoğan Pekcan ErkaniD· 2 shared Johanna HynnineniD· 2 shared Jun DaiiD· 2 shared Kaisa HuhtineniD· 2 shared Kaiyang ZhangiD· 2 shared Katja KaipioiD· 2 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Anna VähärautioORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Analysis of single-cell RNA-seq data from ovarian cancer samples before and after chemotherapy links stress-related transcriptional profile withchemotherapy resistance

Kaiyang Zhang, Erdoğan Pekcan Erkan, Jun Dai, Noora Andersson, Katja Kaipio, Tarja Lamminen, Naziha Mansuri, Kaisa Huhtinen, Olli Carpén, Johanna Hynninen, Sakari Hietanen, Jaana Oikkonen, Antti Häkkinen, Sampsa Hautaniemi, Anna Vähärautio

The paper identifies a stress-related transcriptional profile in ovarian cancer linked to chemotherapy resistance and poor survival, suggesting MEK1/2 inhibitors as a potential treatment.

bioRxiv · Jun 6, 2020 · PreprintBioinformatics

PRISM: Recovering cell type specific expression profilesfrom composite RNA-seq data

Antti Häkkinen, Kaiyang Zhang, Amjad Alkodsi, Noora Andersson, Erdoğan Pekcan Erkan, Jun Dai, Katja Kaipio, Tarja Lamminen, Naziha Mansuri, Kaisa Huhtinen, Anna Vähärautio, Olli Carpén, Johanna Hynninen, Sakari Hietanen, Rainer Lehtonen, Sampsa Hautaniemi

PRISM recovers cell type specific expression profiles from composite RNA-seq data, improving patient response prediction compared to raw bulk data.

bioRxiv · Nov 25, 2019 · PreprintBioinformatics