Variant calling from scRNA-seq data allows the assessment of cellular identity in patient-derived cell lines

Autor: Ramazzotti D., Angaroni F., Maspero D., Ascolani G., Castiglioni I., Piazza R., Antoniotti M., Graudenzi A.

Publikováno v: Nature communications 13 (2022): 2718.
info:cnr-pdr/source/autori:Ramazzotti D.; Angaroni F.; Maspero D.; Ascolani G.; Castiglioni I.; Piazza R.; Antoniotti M.; Graudenzi A./titolo:Variant calling from scRNA-seq data allows the assessment of cellular identity in patient-derived cell lines/doi:/rivista:Nature communications/anno:2022/pagina_da:2718/pagina_a:/intervallo_pagine:2718/volume:13

MATTERS ARISING

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::109795dff1c1f86e143aef43737fdd28
http://www.cnr.it/prodotto/i/467459

Understanding deep learning with activation pattern diagrams

Autor: Craighero F., Angaroni F., Graudenzi A., Stella F., Antoniotti M.

The growing demand for machine learning tools to solve hard tasks, from natural language processing to image understanding, recently shifted the attention to understand and possibly to explain the behaviour of deep learning. Deep neural networks repr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1299::84a6464a404a22d1c9da2c419ebbe081
http://hdl.handle.net/10281/302793

ISwap: a bioinformatics tool for index switching detection in vector integration site studies

Autor: De Marino, A, Calabria, A, Benedicenti, F, Antoniotti, M, Montini, E

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1299::f0009afc7a8ccc1689fe60ad63af7f52
http://hdl.handle.net/10281/241993

Taming the complexity of biochemical models through bisimulation and collapsing: theory and practice

Autor: Antoniotti, M., Piazza, C. ^*, Policriti, A., Simeoni, M., Mishra, B.

Publikováno v: In Theoretical Computer Science 2004 325(1):45-67

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