MAResNet: predicting transcription factor binding sites by combining multi-scale bottom-up and top-down attention and residual network ift.tt/3lVLrio #bioinformatics

Locus-specific expression analysis of transposable elements ift.tt/3b1hzKQ #bioinformatics

Deep-AFPpred: identifying novel antifungal peptides using pretrained embeddings from seq2vec with 1DCNN-BiLSTM ift.tt/3AUIanC #bioinformatics

MDF-SA-DDI: predicting drug–drug interaction events based on multi-source drug fusion, multi-source feature fusion and transformer self-attention mechanism ift.tt/3G8NxmR #bioinformatics

Somatic variant analysis suite: copy number variation clonal visualization online platform for large-scale single-cell genomics ift.tt/2ZbnN93 #bioinformatics

epitope3D: a machine learning method for conformational B-cell epitope prediction ift.tt/3jmXcwf #bioinformatics

A survey of circular RNAs in complex diseases: databases, tools and computational methods ift.tt/3C7hmSz #bioinformatics

Ensemble of kernel ridge regression-based small molecule–miRNA association prediction in human disease ift.tt/2Zoo0Fh #bioinformatics

Genome optimization via virtual simulation to accelerate maize hybrid breeding ift.tt/3vKyXNx #bioinformatics

Drug–drug interaction prediction with learnable size-adaptive molecular substructures ift.tt/3Gk9Hmn #bioinformatics

A deep learning-based approach to model anomalous diffusion of membrane proteins: the case of the nicotinic acetylcholine receptor ift.tt/3ChdpKX #bioinformatics

Botanical drugs: a new strategy for structure-based target prediction ift.tt/3ntlRRg #bioinformatics

Sensitive, reliable and robust circRNA detection from RNA-seq with CirComPara2 ift.tt/3El19to #bioinformatics

Are dropout imputation methods for scRNA-seq effective for scATAC-seq data? ift.tt/3GqCCoJ #bioinformatics

GVDTI: graph convolutional and variational autoencoders with attribute-level attention for drug–protein interaction prediction ift.tt/3bdKQCt #bioinformatics

A similarity-based deep learning approach for determining the frequencies of drug side effects ift.tt/3mwA0Ot #bioinformatics

A comprehensive review of the analysis and integration of omics data for SARS-CoV-2 and COVID-19 ift.tt/2ZwDtmS #bioinformatics

GraphCDR: a graph neural network method with contrastive learning for cancer drug response prediction ift.tt/3EIPOnt #bioinformatics

A network-based method for brain disease gene prediction by integrating brain connectome and molecular network ift.tt/3mCAen8 #bioinformatics

Positive-unlabeled learning in bioinformatics and computational biology: a brief review ift.tt/2ZM6z2l #bioinformatics