Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Joung Mo Kang"'
Autor:
Melissa D. Krebs, Joung Mo Kang, Robert D. Tingley, Sarah J. Cohen, Jeffrey B. Lozow, Cristina E. Davis
Publikováno v:
Sensors and Actuators B: Chemical. 119:475-482
Alignment of data is critical for analysis involving the comparison of multiple files. Analytical sensor data resulting from complex chemical mixtures can often be mis-aligned due to time-varying biases resulting from mechanical instrument variabilit
Autor:
Melissa D. Krebs, Maria E. Holmboe, Robert D. Tingley, Joung Mo Kang, Julie E. Zeskind, Cristina E. Davis
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 81:74-81
Analyzing the response of analytical sensors to complex chemical mixtures is difficult, as signals may overlap and may vary between experiments. The analysis and comparison of data files depends on their repeatability, and misaligned signals will not
Autor:
Julie E. Zeskind, Cristina E. Davis, Melissa D. Krebs, Maria E. Holmboe, Joung-Mo Kang, Robert D. Tingley
Publikováno v:
Bioinformatics. 21:1325-1331
Summary: The analysis of chromatographic data resulting from complex chemical mixtures is challenging. Components may co-elute, causing their signals to overlap. An algorithm that will increase the signal-to-noise ratio so compounds present in low ab
Autor:
Marie Pancera, Markus Koch, Joseph Sodroski, Christoph Grundner, Joung-Mo Kang, Richard T. Wyatt
Publikováno v:
Virology. 330(1):233-248
Efficient immune responses to HIV-1 gene products are essential elements to the development and design of an effective vaccine. Ideally, both humoral and cellular responses will be optimally elicited. It is therefore important to elucidate any factor