Zobrazeno 1 - 10 of 50 pro vyhledávání: '"Sylvia Chien"'
1
Akademický článek
Unsupervised discovery of dynamic cell phenotypic states from transmitted light movies.
Autor: Phuc Nguyen, Sylvia Chien, Jin Dai, Raymond J Monnat, Pamela S Becker, Hao Yuan Kueh
Publikováno v: PLoS Computational Biology, Vol 17, Iss 12, p e1009626 (2021)
Identification of cell phenotypic states within heterogeneous populations, along with elucidation of their switching dynamics, is a central challenge in modern biology. Conventional single-cell analysis methods typically provide only indirect, static
Externí odkaz: https://doaj.org/article/6a86ed4571f04203a16e11a0d87ddd1e
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2
Akademický článek
A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia
Autor: Su-In Lee, Safiye Celik, Benjamin A. Logsdon, Scott M. Lundberg, Timothy J. Martins, Vivian G. Oehler, Elihu H. Estey, Chris P. Miller, Sylvia Chien, Jin Dai, Akanksha Saxena, C. Anthony Blau, Pamela S. Becker
Publikováno v: Nature Communications, Vol 9, Iss 1, Pp 1-13 (2018)
Identification of markers of drug response is essential for precision therapy. Here the authors introduce an algorithm that uses prior information about each gene’s importance in AML to identify the most predictive gene-drug associations from trans
Externí odkaz: https://doaj.org/article/ff277a1927e34d3491a2ec37c88816b8
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3
Mutation Patterns Predict Drug Sensitivity in Acute Myeloid Leukemia
Autor: Guangrong Qin, Jin Dai, Sylvia Chien, Timothy J. Martins, Brenda Loera, Quy Nguyen, Melanie L. Oakes, Bahar Tercan, Boris Aguilar, Lauren Hagen, Jeannine McCune, Richard Gelinas, Raymond J. Monnat, Ilya Shmulevich, Pamela S. Becker
Acute myeloid leukemia (AML) is an aggressive malignancy of myeloid progenitor cells characterized by successive acquisition of genetic alterations. This inherent heterogeneity poses challenges in the development of precise and effective therapies. T
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8319f859d807a96395214f8382eacf71
https://doi.org/10.1101/2023.05.24.541944
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5
Restoring RUNX1 deficiency in RUNX1 familial platelet disorder by inhibiting its degradation
Autor: Jin Dai, Sara Borst, Jean Ann Maguire, Pamela S. Becker, Sylvia Chien, Sioban Keel, Deborah L. French, Michelle C Krutein, Michaela R. DelPriore, Marshall S. Horwitz, Donovan J. Anderson, Matthew R. Hart, Jasmin Jeffery, Paul Gadue, Eirini P. Papapetrou, Andriana G. Kotini
Publikováno v: Blood Adv
RUNX1 familial platelet disorder (RUNX1-FPD) is an autosomal dominant disorder caused by a monoallelic mutation of RUNX1, initially resulting in approximately half-normal RUNX1 activity. Clinical features include thrombocytopenia, platelet functional
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e77576fa734bd4297ba790c76a89d083
https://doi.org/10.1182/bloodadvances.2020002709
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6
Accurate Detection of Subclonal Variants in Paired Diagnosis-Relapse Acute Myeloid Leukemia Samples by Next Generation Duplex Sequencing
Autor: Ashwini S. Kamath-Loeb, Jiang-Cheng Shen, Michael W. Schmitt, Brendan F. Kohrn, Keith R. Loeb, Elihu H. Estey, Jin Dai, Sylvia Chien, Lawrence A. Loeb, Pamela S. Becker
Publikováno v: Leuk Res
Mutations characterize diverse human cancers; there is a positive correlation between elevated mutation frequency and tumor progression. One exception is acute myeloid leukemia (AML), which has few clonal single nucleotide mutations. We used highly s
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7390717a06a18a29bb52e0c9a7352b66
https://europepmc.org/articles/PMC9014797/
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9
Unsupervised discovery of dynamic cell phenotypic states from transmitted light movies
Autor: Hao Yuan Kueh, Sylvia Chien, Raymond J. Monnat, Phuc H.B. Nguyen, Pamela S. Becker, Jin Dai
Publikováno v: PLoS Computational Biology
PLoS Computational Biology, Vol 17, Iss 12, p e1009626 (2021)
Identification of cell phenotypic states within heterogeneous populations, along with elucidation of their switching dynamics, is a central challenge in modern biology. Conventional single-cell analysis methods typically provide only indirect, static
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2eb6a168f7871d7ab233557f0251338
http://europepmc.org/articles/PMC8754342
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10
High-Throughput Drug Screening and Multi-Omic Analysis to Guide Individualized Treatment for Multiple Myeloma
Autor: Alicia J. Morales, Edus H. Warren, Damian J. Green, Edward N. Libby, Pamela S. Becker, Bret Gary Degraaff, Timothy J. Martins, Rebecca Silbermann, Andrew J. Cowan, Niall Curley, Sylvia Chien, Jin Dai, Ted Gooley, David G. Coffey
Publikováno v: JCO Precis Oncol
PURPOSE Multiple myeloma (MM) is a genetically heterogeneous malignancy characterized by variable treatment responses. Although numerous drugs have been approved in recent years, the ability to predict treatment response and tailor individual therapy
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82151d0377118a88e1d37f7248ca65b0
https://pubmed.ncbi.nlm.nih.gov/34250400
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