The department assumes admits are prepared to excel in rigorous computer science courses in the very first semester, and in fact, MS students take the same courses as PhD students. An undergraduate major or minor in Computer Science is not mandatory, but a strong background in CS is. For ex...
The pipeline is designed with ease of use, flexibility, and reproducibility as leading principles.Scientific contributionThis pipeline will result in cleaner public mass spectral libraries that will improve library searching and the quality of machine-learning training datasets in mass spectrometry. This ...
interpreting the C = C position, the MS/MS spectrum of the 14 eV KE maintains the pattern in various phospholipid subclasses (Fig.1b–dand Supplementary Fig.2). The potential mechanism for the increase in product ions abundance adjacent to the double bond is the stabilization of the ...
The discovery of patient-specific neoantigens, such as those derived from genomic alterations in cancer cells, potentially represents a step up in difficulty in data analysis. For example, such clinical samples can include up to six MHC alleles instead of the one MHC allele from the monoallelic ...
title = {Lasagne - lightweight library to build and train neural networks in Theano}, url = {https://github.com/lasagne/lasagne} } @article{microsoft-frameskip, author = {Aaron Defazio and Thore Graepel}, title = {A Comparison of learning algorithms on the Arcade Learning Environment}, jo...
If you really want to work in a good career, then try these jobs that have tens of thousands of openings in the USA at high pay rates and good chances for promotion and perks. 20 Horror & Monster Movies Have You Been to the Movies - Or Have You Been UNFRIENDED? 8 years ago A hor...
MS/PhD Research Assistantships in Computer Vision Department of Computer Science & Engineering University of Nevada, Reno, USA The Computer Vision Laboratory (CVL) (http://www.cse.unr.edu/CVL) in the Department of Computer Science and Engineering (CSE) at the University of Nevada, Reno (UNR...
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Peptide fragmentation spectra are routinely predicted in the interpretation of mass-spectrometry-based proteomics data. However, the generation of fragment ions has not been understood well enough for scientists to estimate fragment ion intensities accurately. Here, we demonstrate that machine learning can...
MACHINE LEARNING ALGORITHM DEVELOPMENT The application of AI in health requires a deep knowledge about the methodology and the domain. We develop customized algorithms for data-driven clinical decision support. Deep significance clustering: a novel approach for identifying risk-stratified and predictive pat...