Genetics CRISPRpred(SEQ): a sequence-based method for sgRNA on target activity prediction using traditional machine learning. June 3, 2020
Genomics | Machine Learning | Oncology Uncovering the prognostic gene signatures for the improvement of risk stratification in cancers by using deep learning algorithm coupled with wavelet transform. May 20, 2020
Bioinformatics | Data Science | Genomics Nanopore basecalling from a perspective of instance segmentation. April 23, 2020
Bioinformatics | Molecular Biology | Proteomics DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction. April 23, 2020
Bioinformatics | Genomics | Oncology PathME: pathway based multi-modal sparse autoencoders for clustering of patient-level multi-omics data. April 17, 2020
Other OffsampleAI: artificial intelligence approach to recognize off-sample mass spectrometry images. April 4, 2020
Molecular Diagnostics | Predictive Medicine | Transcriptomics Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data. March 23, 2020
Bioinformatics | Computational Biology | Epigenetics MethylNet: an automated and modular deep learning approach for DNA methylation analysis. March 20, 2020
Bioinformatics | Oncology | Radiology A deep learning-based framework for lung cancer survival analysis with biomarker interpretation. March 18, 2020
Dermatology | Oncology DePicT Melanoma Deep-CLASS: a deep convolutional neural networks approach to classify skin lesion images. March 13, 2020
Bioinformatics | Biomedical DTranNER: biomedical named entity recognition with deep learning-based label-label transition model. February 12, 2020
Bioinformatics | Genetics Deep learning improves the ability of sgRNA off-target propensity prediction. February 11, 2020