id sg-nus-scholar.10635-173936
record_format dspace
spelling sg-nus-scholar.10635-1739362023-09-11T09:50:29Z Data-Driven Discovery of Extravasation Pathway in Circulating Tumor Cells Yadavalli, S Jayaram, S Manda, S.S Madugundu, A.K Nayakanti, D.S Tan, T.Z Bhat, R Rangarajan, A Chatterjee, A Gowda, H Thiery, J.P Kumar, P CANCER SCIENCE INSTITUTE OF SINGAPORE DEPT OF BIOCHEMISTRY transcriptome tumor marker biology data mining epithelial mesenchymal transition gene expression profiling gene expression regulation genetic database genetics human leukocyte metabolism molecular genetics neoplasm pathology procedures signal transduction tumor cell line tumor embolism Biomarkers, Tumor Cell Line, Tumor Computational Biology Data Mining Databases, Genetic Epithelial-Mesenchymal Transition Gene Expression Profiling Gene Expression Regulation, Neoplastic Humans Leukocytes Molecular Sequence Annotation Neoplasms Neoplastic Cells, Circulating Signal Transduction Transcriptome 10.1038/srep43710 Scientific Reports 7 43710 2020-09-02T06:35:41Z 2020-09-02T06:35:41Z 2017 Article Yadavalli, S, Jayaram, S, Manda, S.S, Madugundu, A.K, Nayakanti, D.S, Tan, T.Z, Bhat, R, Rangarajan, A, Chatterjee, A, Gowda, H, Thiery, J.P, Kumar, P (2017). Data-Driven Discovery of Extravasation Pathway in Circulating Tumor Cells. Scientific Reports 7 : 43710. ScholarBank@NUS Repository. https://doi.org/10.1038/srep43710 20452322 https://scholarbank.nus.edu.sg/handle/10635/173936 Unpaywall 20200831
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic transcriptome
tumor marker
biology
data mining
epithelial mesenchymal transition
gene expression profiling
gene expression regulation
genetic database
genetics
human
leukocyte
metabolism
molecular genetics
neoplasm
pathology
procedures
signal transduction
tumor cell line
tumor embolism
Biomarkers, Tumor
Cell Line, Tumor
Computational Biology
Data Mining
Databases, Genetic
Epithelial-Mesenchymal Transition
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Humans
Leukocytes
Molecular Sequence Annotation
Neoplasms
Neoplastic Cells, Circulating
Signal Transduction
Transcriptome
spellingShingle transcriptome
tumor marker
biology
data mining
epithelial mesenchymal transition
gene expression profiling
gene expression regulation
genetic database
genetics
human
leukocyte
metabolism
molecular genetics
neoplasm
pathology
procedures
signal transduction
tumor cell line
tumor embolism
Biomarkers, Tumor
Cell Line, Tumor
Computational Biology
Data Mining
Databases, Genetic
Epithelial-Mesenchymal Transition
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Humans
Leukocytes
Molecular Sequence Annotation
Neoplasms
Neoplastic Cells, Circulating
Signal Transduction
Transcriptome
Yadavalli, S
Jayaram, S
Manda, S.S
Madugundu, A.K
Nayakanti, D.S
Tan, T.Z
Bhat, R
Rangarajan, A
Chatterjee, A
Gowda, H
Thiery, J.P
Kumar, P
Data-Driven Discovery of Extravasation Pathway in Circulating Tumor Cells
description 10.1038/srep43710
author2 CANCER SCIENCE INSTITUTE OF SINGAPORE
author_facet CANCER SCIENCE INSTITUTE OF SINGAPORE
Yadavalli, S
Jayaram, S
Manda, S.S
Madugundu, A.K
Nayakanti, D.S
Tan, T.Z
Bhat, R
Rangarajan, A
Chatterjee, A
Gowda, H
Thiery, J.P
Kumar, P
format Article
author Yadavalli, S
Jayaram, S
Manda, S.S
Madugundu, A.K
Nayakanti, D.S
Tan, T.Z
Bhat, R
Rangarajan, A
Chatterjee, A
Gowda, H
Thiery, J.P
Kumar, P
author_sort Yadavalli, S
title Data-Driven Discovery of Extravasation Pathway in Circulating Tumor Cells
title_short Data-Driven Discovery of Extravasation Pathway in Circulating Tumor Cells
title_full Data-Driven Discovery of Extravasation Pathway in Circulating Tumor Cells
title_fullStr Data-Driven Discovery of Extravasation Pathway in Circulating Tumor Cells
title_full_unstemmed Data-Driven Discovery of Extravasation Pathway in Circulating Tumor Cells
title_sort data-driven discovery of extravasation pathway in circulating tumor cells
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/173936
_version_ 1778169660238200832