Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Alaine Naidas"'
Autor:
Alaina Mahalanabis, Andrei L. Turinsky, Mia Husić, Erik Christensen, Ping Luo, Alaine Naidas, Michael Brudno, Trevor Pugh, Arun K. Ramani, Parisa Shooshtari
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 20, Iss , Pp 6375-6387 (2022)
Tumors are complex biological entities that comprise cell types of different origins, with different mutational profiles and different patterns of transcriptional dysregulation. The exploration of data related to cancer biology requires careful analy
Externí odkaz:
https://doaj.org/article/ff2bc6b24902403e9edd7b45084e3ccf
Publikováno v:
PLoS ONE, Vol 17, Iss 9, p e0272302 (2022)
MotivationThe tumour microenvironment (TME) contains various cells including stromal fibroblasts, immune and malignant cells, and its composition can be elucidated using single-cell RNA sequencing (scRNA-seq). scRNA-seq datasets from several cancer t
Externí odkaz:
https://doaj.org/article/11bca2e5aa5f4200b51a474a891b5c69
Autor:
Erik Christensen, Ping Luo, Andrei Turinsky, Mia Husić, Alaina Mahalanabis, Alaine Naidas, Juan Javier Diaz-Mejia, Michael Brudno, Trevor Pugh, Arun Ramani, Parisa Shooshtari
Publikováno v:
Briefings in Bioinformatics. 24
Single-cell RNA sequencing (scRNA-seq) clustering and labelling methods are used to determine precise cellular composition of tissue samples. Automated labelling methods rely on either unsupervised, cluster-based approaches or supervised, cell-based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbad3cfba8874bdb853eab2bbe0a2e59
https://doi.org/10.1093/bib/bbac561
https://doi.org/10.1093/bib/bbac561
Tumour microenvironments (TME) contain a variety of cells including but not limited to stromal fibroblasts, endothelial cells, immune cells, malignant cells, and cells of the tissues of origin, whose interactions likely influence tumour behaviour and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f55806389b67480920ab56b931eaa74
https://doi.org/10.1101/2020.10.31.362988
https://doi.org/10.1101/2020.10.31.362988
Autor:
Hillary Elrick, Kevin L Lu, Mia Husić, Laura M. Richards, Parisa Shooshtari, Suluxan Mohanraj, Ping Luo, Samarth Patel, Erik Christensen, Danielle C Croucher, Alaine Naidas, Shaikh Rashid, Trevor J. Pugh, Arun K. Ramani, Prabnur Bal, Alaina Mahalanabis, J. Javier Díaz-Mejía, Martin D. Pham, Michael Brudno
Publikováno v:
Nucleic Acids Research
Paediatrics Publications
Paediatrics Publications
CReSCENTCanceR Single Cell ExpressioN Toolkit (https://crescent.cloud), is an intuitive and scalable web portal incorporating a containerized pipeline execution engine for standardized analysis of single-cell RNA sequencing (scRNA-seq) data. While sc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c334f4b28de8a2054a2c90b681227b91