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scHiCyclePred: a deep learning framework for predicting cell cycle phases from single-cell Hi-C data using multi-scale interaction information

Overview of scHiCyclePredThe deep learning-based framework of scHiCyclePred consists of two crucial steps: the extraction of multiple feature sets and a CNN model based...

Gapped-kmer sequence modeling robustly identifies regulatory vocabularies and distal enhancers conserved between evolutionarily distant mammals

Enhancer and promoter regulatory vocabularies are conserved, yet enhancers rapidly evolveEnhancers are distal to transcription start sites (TSS) and harbor binding sites for TFs....

Proteomic landscape of epithelial ovarian cancer

Ethics statementThis study was approved by the Medical Ethics Committee of Zhejiang Cancer Hospital (IRB-2020-155) and Medical Ethical Committee of Westlake University (20190401GTN0009). The...

Advanced differential evolution for gender-aware English speech emotion recognition

We conduct experiments to verify the superiority of the proposed ADE algorithm against DE37, BBO_PSO38 and MA29 algorithms. BBO_PSO and MA are two state-of-the-art...

Inference of chromosome selection parameters and missegregation rate in cancer from DNA-sequencing data

Inference of copy number aberration rates and selection parameters in the CINner frameworkIn order to fully characterize the genomic evolution from DNA-seq data, it...

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