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Reweighted sparse subspace clustering
The proposed RSSC algorithm achieves lower clustering error than LSR, SMR, LRR and SSC algorithms while the additional reweighted step has a moderate impact on the computational cost. Expand
SCALE method for single-cell ATAC-seq analysis via latent feature extraction
We introduce a method for analyzing Single-Cell ATAC-seq data, called Latent feature Extraction (SCALE). Expand
In vivo structural characterization of the whole SARS-CoV-2 RNA genome identifies host cell target proteins vulnerable to re-purposed drugs
SARS-CoV-2 is an RNA virus of the Coronaviridae family that is the causal pathogen of the ongoing Coronavirus Disease 2019 pandemic. There are currently no antiviral drugs or vaccines to treatExpand
RISE: a database of RNA interactome from sequencing experiments
We present RISE (http://rise.net), a database of RNA Interactome from Sequencing Experiments. Expand
In vivo structural characterization of the SARS-CoV-2 RNA genome identifies host proteins vulnerable to repurposed drugs
SARS-CoV-2 is the cause of the ongoing Coronavirus Disease 2019 (COVID-19) pandemic. Understanding of the RNA virus and its interactions with host proteins could improve therapeutic interventionsExpand
A^2-Net: Molecular Structure Estimation from Cryo-EM Density Volumes
We develop a deep learning framework for amino acid determination in a 3D Cryo-EM density volume and propose a sequence-guided Monte Carlo Tree Search algorithm. Expand
VRmol: an Integrative Cloud-Based Virtual Reality System to Explore Macromolecular Structure
We present an integrative cloud-based, virtual reality (VR) system that exploits these technology advances to visualize and study macromolecule structures in various forms. Expand
Predicting dynamic cellular protein-RNA interactions using deep learning and in vivo RNA structure
Interactions with RNA-binding proteins (RBPs) are crucial for RNA regulation and function. While both RNA sequence and structure are critical determinants, RNA structure is dependent on cellularExpand
Bioactive Functionalized Monolayer Graphene for High-Resolution Cryo-Electron Microscopy.
Single-particle cryo-electron microscopy (cryo-EM) has become one of the most essential tools to understand biological mechanisms at molecular level. A major bottleneck in cryo-EM technique is theExpand
SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud
We propose a unified framework called SegVoxelNet that incorporates semantic information into 3D vehicle detection, where semantic context becomes active guidance for 3D Vehicle Detection. Expand