Deconvolution: in mathematics, is an algorithm-based process used to reverse the effects of convolution on recorded data. The concept of deconvolution is widely used in the techniques of signal processing and image processing.
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Date: July 15, 2021 Time: 8:00am (PDT), 11:00am (EDT) High dimensional full spectrum flow cytometry grants unprecedented access to previously unattainable parameters in cellular biology. Flu...
Date: April 27, 2021 Time: 08:00am (PDT) The versatility of CRISPR-Cas9 has expanded the available toolset of gene editing systems for life scientists. However, these experiments require det...
Date: April 15, 2021 Time: 7:00am (PDT), 10:00am (EDT) In widefield fluorescence microscopy both the contrast and resolution of a captured image is corrupted by light collected from adjacent...
G protein-coupled receptors (GPCRs) are among the most intensively studied drug targets, and account for about ~34% of all drugs approved by the FDA. Examples of drugs targeting GPCRs includ...
Influenza severity is determined by the interplay between the virus and the host response. Previously, we identified a three-pronged lung gene expression signature that predicted severe infl...
Pancreatic ductal adenocarcinoma (PDAC) remains a treatment-refractory disease and existing molecular subtypes do not inform clinical decisions. Previously-identified bulk transcriptomic sub...
The current standard methodology in forensic DNA typing relies on amplification of short tandem repeat (STR) markers by the polymerase chain reaction (PCR) and allele sizes (i.e., length-bas...
Learning Objectives: 1. Molecular basis of microhaplotypes 2. Informativeness and power of discrimination of microhaplotypes 3. Mixture deconvolution via microhaplotypes...