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Open AccessHierarchical Reinforcement Learning from Demonstration via Reachability-Based Reward Sha**
Hierarchical reinforcement learning (HRL) has achieved remarkable success and significant progress in complex and long-term decision-making problems. However, HRL training typically entails substantial computa...
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Open AccessSPADE: spatial deconvolution for domain specific cell-type estimation
Understanding gene expression in different cell types within their spatial context is a key goal in genomics research. SPADE (SPAtial DEconvolution), our proposed method, addresses this by integrating spatial ...
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Open AccessEnsemble dimensionality reduction and feature gene extraction for single-cell RNA-seq data
Single-cell RNA sequencing (scRNA-seq) technologies allow researchers to uncover the biological states of a single cell at high resolution. For computational efficiency and easy visualization, dimensionality r...
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Open AccessAccurate genome relative abundance estimation for closely related species in a metagenomic sample
Metagenomics has a great potential to discover previously unattainable information about microbial communities. An important prerequisite for such discoveries is to accurately estimate the composition of micro...
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Open AccessDetection of rare functional variants using group ISIS
Genome-wide association studies have been firmly established in investigations of the associations between common genetic variants and complex traits or diseases. However, a large portion of complex traits and...
