Latest Research in Machine Learning
49 research papers · 0.2 average citations · 2026 median publication year
Top Research Topics in Machine Learning
- Machine Learning — 7 papers
- Genomics and Chromatin Dynamics — 7 papers
- Single-cell and spatial transcriptomics — 6 papers
- Gene Regulatory Network Analysis — 4 papers
- DNA Repair Mechanisms — 3 papers
- Advanced Electron Microscopy Techniques and Applications — 2 papers
- Bioinformatics and Genomic Networks — 1 papers
- RNA modifications and cancer — 1 papers
- Microtubule and mitosis dynamics — 1 papers
- Ubiquitin and proteasome pathways — 1 papers
Highest-Cited Papers
- Cohesin acts as a transcriptional gatekeeper by restraining pause–release to promote processive elongation (4 citations)
- On the use of variational autoencoders for biomedical data integration (1 citations)
- Conformational asymmetry of replicated human chromosomes (3 citations)
- scProtoTransformer: Scalable reference mapping across molecules, cells, and donors (1 citations)
- When models choose metrics: Hidden geometry in computational biology
- A Real‐Data‐Driven Framework for Evaluating Differential Transcript Usage Methods Across Long‐Read Bulk, Single‐Cell, and Spatial Transcriptomics
- Dynamic Generalized Gromov-Wasserstein Optimal Transport
- CellRFT: Reinforcement Fine-Tuning for Single-Cell Perturbation Modeling
- N6-Methyladenosine RNA Modifications Influence the Stability of FUS-Dependent Biological Condensate Formation
- Cohesin reshapes replication fork contacts to aid fork slowing and reversal
- Regulation of TIPIN and replication fork dynamics by USP37
- Three-dimensional chromatin architecture is rapidly restored after DNA replication
- Structural principles underlying the evolution of SWI/SNF chromatin remodelers
- Unique Molecular Identifiers Don’t Need to be Unique: A Collision-Aware Estimator for RNA-Seq Quantification
- A Spectral Decomposition Framework for Multiscale Nonlinear Dimensionality Reduction
- A Unified Framework of the Seonggil Field Equations and HJB Tensor PDEs for High-Dimensional Gene Regulatory Networks via scRNA-seq Integration
- A Unified Framework of the Seonggil Field Equations and HJB Tensor PDEs for High-Dimensional Gene Regulatory Networks via scRNA-seq Integration
- SimCP-NS: Similarity-based Copy Paste for Semi-Supervised 3D EM Neuron Segmentation
- Towards a knowledge-enhanced single-cell foundation model
- Bayesian inference of gene regulatory networks at stochastic steady state