S Fabián Lerner,1 Francesco Oddone,2 Da-Wen Lu,3 Ana Sanseau,4 Merce Guarro,5 Antonia Ridolfi,6 Douglas Hubatsch7 1Consultorio Oftalmológico Dr.Fabian Lerner And Facultad de Ciencias Médicas, Universidad Favaloro, Buenos Aires, Argentina; 2Glaucoma Research Unit, IRCCS – Fondazione Bietti, Rome, Italy; 3Department of Opht
A Maximum Likelihood Based Nonparametric Iterative Adaptive Method of Synthetic Aperture Radar Tomography and Its Application for Estimating Underlying Topography and Forest Height
Synthetic aperture radar tomography (TomoSAR) is an important way of obtaining underlying topography and forest height for long-wavelength datasets such as L-band and P-band radar.It is usual to apply nonparametric spectral estimation methods with a large number of snapshots over forest areas.The nonparametric L-Leucine iterative adaptive approach
Isolation and Characterization of Neutralizing Monoclonal Antibodies from a Large Panel of Murine Antibodies against RBD of the SARS-CoV-2 Spike Protein
The COVID-19 pandemic, once a global crisis, is now largely under Leggings control, a testament to the extraordinary global efforts involving vaccination and public health measures.However, the relentless evolution of SARS-CoV-2, leading to the emergence of new variants, continues to underscore the importance of remaining vigilant and adaptable.Mon
Systematic interpretation of microarray data using experiment annotations
Abstract Background Up to now, microarray data are mostly assessed in context with only one or few parameters characterizing the experimental conditions under study.More Upper Spray Arm Nut explicit experiment annotations, however, are highly useful for interpreting microarray data, when available in a statistically accessible format.Results We pro