Company Filing History:
Years Active: 2013
Title: Innovations in Cellular Data Analysis: The Work of Roy Kuraisa
Introduction
Roy Kuraisa is an inventive mind located in Seattle, WA, recognized for his significant contributions in the realm of computer systems and cellular constituent analysis. His work brings forth innovative approaches to understanding the relationships between cellular constituents using high-dimensional datasets.
Latest Patents
Kuraisa holds a patent titled "Computer systems and methods for identifying conserved cellular constituent clusters across datasets." This invention provides systems and methods for determining functional relationships between pairs of cellular constituents. The patented technology focuses on receiving a plurality of datasets, each representing various experimental conditions. Through calculating correlation coefficients for cellular constituents, the invention enables the identification of conserved areas within correlation matrices, thereby elucidating functional relationships among constituents.
Career Highlights
Currently, Roy Kuraisa is associated with Microsoft Technology Licensing, LLC, where he leverages his expertise to advance technological solutions in cellular studies. His innovative approach not only enhances the understanding of cellular interactions but also sets a foundation for future research and advancements in biological data interpretation.
Collaborations
Kuraisa has collaborated with notable colleagues, including Serguei B Stepaniants and Pek Yee Lum. Their collective efforts in technological innovation significantly contribute to the fields of biology and data science, emphasizing the importance of teamwork in driving novel solutions.
Conclusion
Roy Kuraisa's innovative patent and his work at Microsoft Technology Licensing, LLC showcase the intersection of technology and biology. His contributions are vital for advancing the analysis of cellular data, providing powerful tools for researchers and scientists in the pursuit of understanding complex biological systems.
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