Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Aditya Rajagopal"'
Autor:
Bryan Leatham, Katie McNall, Hari K. K. Subramanian, Lucien Jacky, John Alvarado, Dominic Yurk, Mimi Wang, Donald C. Green, Gregory J. Tsongalis, Aditya Rajagopal, Jerrod J. Schwartz
Publikováno v:
Molecular Oncology, Vol 17, Iss 11, Pp 2221-2234 (2023)
Digital PCR (dPCR) is emerging as an ideal platform for the detection and tracking of genomic variants in cancer due to its high sensitivity and simple workflow. The growing number of clinically actionable cancer biomarkers creates a need for fast, a
Externí odkaz:
https://doaj.org/article/2f8abd2ae9464955898cc183ee988e88
Autor:
Bryan Leatham, Katie McNall, Hari K. Subramanian, Lucien Jacky, John Alvarado, Dominic Yurk, Mimi Wang, Donald C. Green, Gregory J. Tsongalis, Aditya Rajagopal, Jerrod J. Schwartz
Digital PCR (dPCR) is emerging as an ideal platform for the detection and tracking of genomic variants in cancer due to its high sensitivity and simple workflow. The growing number of clinically-actionable cancer biomarkers creates a need for fast, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a6bedbec7ab8ec54d540ad6f2e1afd7
https://doi.org/10.1101/2023.03.09.531949
https://doi.org/10.1101/2023.03.09.531949
Autor:
Lucien Jacky, Dominic Yurk, John Alvarado, Bryan Leatham, Jerrod Schwartz, John Annaloro, Chris MacDonald, Aditya Rajagopal
Publikováno v:
Analytical chemistry. 93(51)
Digital PCR (dPCR) is the gold-standard analytical platform for rapid high-precision quantification of genomic fragments. However, current dPCR assays are generally limited to monitoring 1–2 analytes per sample, thereby limiting the platform’s ab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f754e1d6e18ea165bd296651424e2d17
https://pubmed.ncbi.nlm.nih.gov/34905685
https://pubmed.ncbi.nlm.nih.gov/34905685
The increased memory and processing capabilities of today's edge devices create opportunities for greater edge intelligence. In the domain of vision, the ability to adapt a Convolutional Neural Network's (CNN) structure and parameters to the input da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e152c6193b7a4a9769f02167667bc26b
http://arxiv.org/abs/2108.05580
http://arxiv.org/abs/2108.05580
Autor:
Jason Paragas, Yaniv Erlich, Aditya Rajagopal, Francisco Garcia, Christian Cabou, Sharon F. Terry, Alexander Casdin, Ed Yu, Scott Kahn, Robert C. Kain, David L. Barker, Aristides Patrinos, Debora Thompson, Barry Dawn Mary, David B. Lewis, Ashley Van Zeeland, Carlos Bustamante
Publikováno v:
Nature Biotechnology. 37:1112-1115
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c83ac5a68f9170056f11754baac0cd1
https://doi.org/10.1038/s41587-019-0278-9
https://doi.org/10.1038/s41587-019-0278-9
Autor:
Bryan Leatham, Katie McNall, Hari K. Subramanian, John Alvarado, Lucien Jacky, Mimi Wang, Aditya Rajagopal, Jerrod Schwartz
Publikováno v:
Cancer Research. 82:2929-2929
Digital PCR (dPCR) is an emerging platform for detecting genomic variants in cancer genomes due to its high sensitivity and fast time to result compared to massively parallel sequencing. However, translational oncology applications often require the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46ebca5ed2101adc4db85751874fbad6
https://doi.org/10.1158/1538-7445.am2022-2929
https://doi.org/10.1158/1538-7445.am2022-2929
Autor:
Gregory J. Tsongalis, Bryan Leatham, Katie McNall, Hari Subramanian, John G Alvarado, Lucien Jacky, Dominic Yurk, Donald Green, Aditya Rajagopal, Jerrod Schwartz
Publikováno v:
Journal of Clinical Oncology. 40:e20603-e20603
e20603 Background: Digital PCR (dPCR) is an emerging technology platform for detecting genomic variants in cancer genomes due to its high sensitivity and fast time to results compared to sequencing. However, translational oncology applications often
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04c3898fd549d35eda2dd1418cadaa97
https://doi.org/10.1200/jco.2022.40.16_suppl.e20603
https://doi.org/10.1200/jco.2022.40.16_suppl.e20603
Digital PCR (dPCR) is the gold standard analytical platform for rapid high precision quantification of genomic fragments. However, current dPCR assays are generally limited to monitoring 1-2 analytes per sample, thereby limiting the platform’s abil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::945f4344b749f2f3a41dcd6a73d45454
https://doi.org/10.1101/2021.04.29.441975
https://doi.org/10.1101/2021.04.29.441975
Autor:
Chris MacDonald, Scott E. Fraser, Dominic Yurk, Aditya Rajagopal, Lucien Jacky, Kristin Fathe, Paul Belitz, John Alvarado
The gold standard of molecular pathogen detection is the quantitative polymerase chain reaction (qPCR). Modern qPCR instruments are capable of detecting 4-6 analytes in a single sample: one per optical detection channel. However, many clinical applic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea0e701a7a8a0bfb3c4430e80fc64d14
https://resolver.caltech.edu/CaltechAUTHORS:20210301-100548631
https://resolver.caltech.edu/CaltechAUTHORS:20210301-100548631
Publikováno v:
FPL
As the complexity of deep learning (DL) models increases, their compute requirements increase accordingly. Deploying a Convolutional Neural Network (CNN) involves two phases: training and inference. With the inference task typically taking place on r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eaf6320ea5334d3f4cfd577128567c66
http://arxiv.org/abs/2006.13829
http://arxiv.org/abs/2006.13829