Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...
Researchers at EMBL’s European Bioinformatics Institute (EMBL-EBI) have developed a new machine learning method called SAVANA that significantly reduces sequencing errors for cancer genomes. Long-read ...
Immunologic profile of melanoma brain metastases (MBM) in patients (pts) with prolonged survival. This is an ASCO Meeting Abstract from the 2015 ASCO Annual Meeting I. This abstract does not include a ...
Early response assessment after one cycle of neoadjuvant chemotherapy in breast cancer by FLT-PET/CT. This is an ASCO Meeting Abstract from the 2014 ASCO Annual Meeting I. This abstract does not ...
Just as asking a single person about their health will provide tailored, personalized information impossible to glean from a large poll, an individual cell's genome or transcriptome can provide much ...
San Diego’s DNA intelligence company Human Longevity has developed an algorithm that can predict what people look like using only their genome sequence. The technology has applications in solving ...
An implicit enumeration algorithm is developed for the machine sequencing problem. The method is based on the graph-theoretical representation of the problem. The convergence of the algorithm is ...
Researchers at the Bloomberg~Kimmel Institute for Cancer Immunotherapy at the Johns Hopkins Kimmel Cancer Center have developed DeepTCR, a software package that employs deep-learning algorithms to ...
Bioinformatics researchers who perform alignments of long protein sequences face a difficult choice: They can get accurate results in hours (sometimes days), or quick results if they're willing to ...
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