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BMC Bioinformatics|March 13, 2024
Predicting lncRNA-protein interactions through deep learning framework employing multiple features and random forest algorithmYing Liang, XingRui Yin, YangSen Zhang, et al.BMC Bioinformatics|March 16, 2024
NeuronBridge: an intuitive web application for neuronal morphology search across large data setsJody Clements, Cristian Goina, Philip M Hubbard, et al.BMC Bioinformatics|March 15, 2024
StackDPP: a stacking ensemble based DNA-binding protein prediction modelSheikh Hasib Ahmed, Dibyendu Brinto Bose, Rafi Khandoker, et al.BMC Bioinformatics|March 22, 2024
Cell4D: a general purpose spatial stochastic simulator for cellular pathwaysDonny Chan, Graham L Cromar, Billy Taj, et al.BMC Bioinformatics|March 24, 2024
Amplidiff: an optimized amplicon sequencing approach to estimating lineage abundances in viral metagenomesJasper van Bemmelen, Davida S Smyth, Jasmijn A BaaijensBMC Bioinformatics|March 30, 2024
DAE-CFR: detecting microRNA-disease associations using deep autoencoder and combined feature representationYanling Liu, Ruiyan Zhang, Xiaojing Dong, et al.BMC Bioinformatics|April 2, 2024
Predicting condensate formation of protein and RNA under various environmental conditionsKa Yin Chin, Shoichi Ishida, Yukio Sasaki, et al.BMC Bioinformatics|March 8, 2024
Bayesian inference for identifying tumour-specific cancer dependencies through integration of ex-vivo drug response assays and drug-protein profilingHanwen Xing, Christopher YauBMC Bioinformatics|March 9, 2024
DeepAEG: a model for predicting cancer drug response based on data enhancement and edge-collaborative update strategiesChuanqi Lao, Pengfei Zheng, Hongyang Chen, et al.BMC Bioinformatics|July 12, 2024
METASEED: a novel approach to full-length 16S rRNA gene reconstruction from short read dataMelcy Philip, Knut Rudi, Ida Ormaasen, et al.Pageof 1,249