M
Marco Mina
Researcher at University of Lausanne
Publications - 45
Citations - 3699
Marco Mina is an academic researcher from University of Lausanne. The author has contributed to research in topics: Semantic similarity & Cancer. The author has an hindex of 21, co-authored 41 publications receiving 2342 citations. Previous affiliations of Marco Mina include fondazione bruno kessler & University of Padua.
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Journal ArticleDOI
Oncogenic Signaling Pathways in The Cancer Genome Atlas
Francisco Sanchez-Vega,Marco Mina,Joshua Armenia,Walid K. Chatila,Augustin Luna,Konnor La,Sofia Dimitriadoy,David L. Liu,Havish S. Kantheti,Sadegh Saghafinia,Debyani Chakravarty,Foysal Daian,Qingsong Gao,Matthew H. Bailey,Wen-Wei Liang,Steven M. Foltz,Ilya Shmulevich,Li Ding,Zachary J. Heins,Angelica Ochoa,Benjamin Gross,Jianjiong Gao,Hongxin Zhang,Ritika Kundra,Cyriac Kandoth,Istemi Bahceci,Leonard Dervishi,Ugur Dogrusoz,Wanding Zhou,Hui Shen,Peter W. Laird,Gregory P. Way,Casey S. Greene,Han Liang,Yonghong Xiao,Chen Wang,Antonio Iavarone,Alice H. Berger,Trever G. Bivona,Alexander J. Lazar,Gary D. Hammer,Thomas J. Giordano,Lawrence N. Kwong,Grant A. McArthur,Chenfei Huang,Aaron D. Tward,Mitchell J. Frederick,Frank McCormick,Matthew Meyerson,Eliezer M. Van Allen,Andrew D. Cherniack,Giovanni Ciriello,Chris Sander,Nikolaus Schultz +53 more
TL;DR: This work charted the detailed landscape of pathway alterations in 33 cancer types, stratified into 64 subtypes, and identified patterns of co-occurrence and mutual exclusivity.
Journal ArticleDOI
Semantic similarity analysis of protein data: assessment with biological features and issues
TL;DR: This work presents a systematic discussion and comparison of main approaches for annotating existing protein data with biological information to enable the use of algorithms that use biological ontologies as framework to mine annotated data.
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Pan-Cancer Landscape of Aberrant DNA Methylation across Human Tumors.
Sadegh Saghafinia,Sadegh Saghafinia,Sadegh Saghafinia,Marco Mina,Marco Mina,Nicolo Riggi,Douglas Hanahan,Giovanni Ciriello,Giovanni Ciriello +8 more
TL;DR: An algorithmic approach (RESET) is designed to identify aberrant DNA methylation and associated cis-transcriptional changes across >6,000 human tumors and provides a pan-cancer map of aberrantDNA methylation to inform functional and therapeutic studies.
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AlignNemo: A Local Network Alignment Method to Integrate Homology and Topology
Giovanni Ciriello,Marco Mina,Pietro Hiram Guzzi,Mario Cannataro,Concettina Guerra,Concettina Guerra +5 more
TL;DR: AlignNemo is a new algorithm that, given the networks of two organisms, uncovers subnetworks of proteins that relate in biological function and topology of interactions that more closely fit the models of functional complexes proposed in the literature.
Journal ArticleDOI
Tumor-infiltrating T lymphocytes improve clinical outcome of therapy-resistant neuroblastoma.
Marco Mina,Renata Boldrini,Arianna Citti,Paolo Romania,Valerio D’Alicandro,Maretta De Ioris,Aurora Castellano,Cesare Furlanello,Franco Locatelli,Doriana Fruci +9 more
TL;DR: The hypothesis that infiltrating T cells influence the behavior of neuroblastoma and might be of clinical importance for the treatment of patients is supported.