WebDeconvolution of bulk RNA-Seq data using context-specific deconvolution models based on Deep Neural Networks using scRNA-Seq data as input. These models are able to make accurate estimates of the cell composition of bulk RNA-Seq samples from the same context using the advances provided by Deep Learning and the meaningful information provided … WebMar 19, 2024 · Deep learning algorithms based on traditional machine learning get better result for predicting RBPs. Recently, deep learning method fused with attention mechanism has attracted huge attention in many fields and gets competitive result. Thus, attention mechanism module may also improve model performance for predicting RNA-protein …
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WebApr 14, 2024 · In this study, we propose CircPCBL, a deep-learning approach that only uses raw sequences to distinguish between circRNAs found in plants and other lncRNAs. … WebSep 4, 2024 · Before jumping directly into the deep learning model, we have tested other gradient boosts such as Light GBM and CatBoost. Then as we were dealing with the sequence, I thought to experiment around BiLSTM model, but they all performed worst compared to the triple GRU model with linear activation. This model is influenced by … thurman financial consulting inc
A deep learning model to predict RNA-Seq expression of tumours …
WebLife is all about learning and research. I'm an experienced machine learning researcher (12+ years post Masters) with expertise in data sciences, complex networks, systems biology and structural biology -- working on multi-omics data integration to understand disease vagaries, identify therapeutic targets, and gain novel biological insights using data-driven … WebSep 13, 2024 · The second step of the model extrapolates the RNA-seq-like 978 gene vectors into 23,614-dimensional RNA-seq-like whole genome profiles using a fully … WebDeep Neural Networks / Deep Learning / RNN, CNN, LSTM Image Processing / Computer Vision, OpenCV Recommendation systems / Bandit / multi-task learning NLP/NLU BERT / RoBERTa / spaCy Bioinformatics Microbiome Whole exome/genome Protein sequences/structures RNA-seq, metabolomics Networked (interaction) data MLOps … thurman fight video