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Found 5 papers, 3 papers with code
Protein intrinsic disorder prediction using Attention U-Net and ProtTrans protein language model
The article pre-sents a new protein intrinsic disorder predictor DisorderUnetLM based on the Attention U-Net convolutional neural network using features from the protein language model ProtTrans.
Convolutional ProteinUnetLM competitive with long short-term memory-based protein secondary structure predictors
In recent years, a new generation of algorithms for SS prediction based on embeddings from protein language models (pLMs) is emerging.
Multiple Sequence Alignment
Protein Secondary Structure Prediction
+1
Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients
Tumor burden assessment by magnetic resonance imaging (MRI) is central to the evaluation of treatment response for glioblastoma.
Changepoint Detection in Noisy Data Using a Novel Residuals Permutation-Based Method (RESPERM): Benchmarking and Application to Single Trial ERPs
Here, we present a new method for detecting a single changepoint in a linear time series regression model, termed residuals permutation-based method (RESPERM).
Improved robust weighted averaging for event-related potentials in EEG
The areas of improvement include significantly lower averaging error (45% lower RMSE and 37% lower maximum difference than for original implementation) and increased robustness to local minima, strong outliers and corrupted epochs common to real-life EEG signals, especially from low-cost devices.
