Author

Rita Teresa Lawlor

University of VeronaORCID 0000-0003-3160-0634Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Research Focus:gene regulatory network inference· 2 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Aldo ScarpaiD· 3 shared Claudio LuchiniiD· 2 shared Roberto SalviaiD· 2 shared Alejandro Ibáñez‐CostaiD· 1 shared Alessandra PulvirentiiD· 1 shared Andrea Mafficini· 1 shared Andrew V. Bainkin· 1 shared Anguraj SadanandamiD· 1 shared

Activity by Year

2017-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersCancer Biology

Aldo ScarpaORCID

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3 papers

Recent·Most cited

Cancer BiologyEndocrine PathologyPeer-reviewedJul 9, 2026

An integrative RNA spliceosomic landscape of pancreatic neuroendocrine tumors unveils novel clinicomolecular associations

Ricardo Blázquez‐Encinas, Víctor García‐Vioque, Andrea Mafficini…·Justo Pastor Castano

This study identifies three distinct spliceosomic profiles in pancreatic neuroendocrine tumors linked to clinical and molecular characteristics and potential therapeutic targets.

1 citation

humanbulk RNA-seq

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Cancer BiologyNature CommunicationsPeer-reviewedMar 4, 2026

Clonal evolutionary analysis reveals patterns of malignant transformation in pancreatic cancer from Intraductal Papillary Mucinous IPMN Neoplasms (IPMN)

Antonio Pea, Xiaotong T. He, Rosie Upstill-Goddard…·David K. Chang

This study traces the clonal evolution of pancreatic cancer from IPMN using genomic and transcriptomic data, identifying two distinct evolutionary trajectories and their implications for PDAC progression.

2 citations

humanwhole-genome sequencing

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BioinformaticsbioRxivPreprintAug 14, 2017

Revealing unidentified heterogeneity in different epithelial cancers using heterocellular subtype classification

Pawan Poudel, Gift Nyamundanda, Chanthirika Ragulan…·Anguraj Sadanandam

The paper classifies epithelial cancers into five heterocellular subtypes, revealing previously unrecognized heterogeneity and identifying tissue-independent properties across cancer types.

4 citations

humanbulk RNA-seq

𝕏 PostBluesky