Papers Single-cell modeling
“Single-cell modeling” 태그가 달린 논문 4편 · 필터 해제
Foundation Models Meet Imbalanced Single-Cell Data When Learning Cell Type Annotations
With the emergence of single-cell foundation models, an important question arises: how do these models perform when trained on datasets having an imbalance in cell type distribution due to rare cell types or biased sampl…
Cell Entity Annotationimbalanced classificationLarge Language ModelSingle-cell modelingAccurate battery lifetime prediction across diverse aging conditions with deep learning
Accurately predicting the lifetime of battery cells in early cycles holds tremendous value for battery research and development as well as numerous downstream applications. This task is rather challenging because diverse…
Single-cell modelingThe Deep Generative Decoder: MAP estimation of representations improves modeling of single-cell RNA data
Learning low-dimensional representations of single-cell transcriptomics has become instrumental to its downstream analysis. The state of the art is currently represented by neural network models such as variational autoe…
DecoderImage GenerationRepresentation LearningSingle-cell modelingSISUA: Semi-Supervised Generative Autoencoder for Single Cell Data
Single-cell transcriptomics offers a tool to study the diversity of cell phenotypes through snapshots of the abundance of mRNA in individual cells. Often there is additional information available besides the single cell …
DiversitySingle-cell modeling