To work around this issue, the authors used a specific transfer learning technique called domain adaptation (DA). Using this technique removes the need for labeled training data in the target domain but only slightly improves the results. Deep learning methods can also be applied to 3D point ...
sensors Article Improvement of Information Transfer Rates Using a Hybrid EEG-NIRS Brain-Computer Interface with a Short Trial Length: Offline and Pseudo-Online Analyses Jaeyoung Shin 1,† ID , Do-Won Kim 2,†, Klaus-Robert Müller 3,4,5,* and Han-Jeong Hwang 6,* ID 1 Department of ...
Roberto A. Chica & Noelia Ferruz Nat Biotechnol 42, 173–174 (2024) Protein design: the experts speak Anne Doerr Nat Biotechnol 42, 175–178 (2024) Machine learning for functional protein design Pascal Notin, Nathan Rollins, Yarin Gal, Chris Sander & Debora Marks Nat Biotechnol 42, 216–22...
Ester M, Kriegel HP, Sander J, et al (1996) A density-based algorithm for discovering clusters in large spatial databases with noise. In: KDD, pp 226–231 Fan J (2021) Large-scale subspace clustering via k-factorization. In: Proceedings of the 27th ACM SIGKDD conference on knowledge disc...
a context-free scenario. However, on time series we are usually more interested in whether each time point is anomalous in the context, and make inferences about the anomalous state of a time span wrapping the time point. This means that for any momentton a time series, its dependence on ...
Protein tertiary structure prediction is a fundamental problem in computational biology and identifying the most native-like model from a set of predicted models is a key sub-problem. Consensus methods work well when the redundant models in the set are t
Protein folding has become a tractable problem with the significant advances in deep learning-driven protein structure prediction. Here we propose FoldPAthreader, a protein folding pathway prediction method that uses a novel folding force field model by
Kabsch W, Sander C. Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features. Biopolymers. 1983;22:2577–637. Tien MZ, Meyer AG, Sydykova DK, Spielman SJ, Wilke CO. Maximum allowed solvent accessibilites of residues in proteins. PLoS ONE. 2013...
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Protein tertiary structure prediction is a fundamental problem in computational biology and identifying the most native-like model from a set of predicted models is a key sub-problem. Consensus methods work well when the redundant models in the set are t