Article

FusedFCR: A Fused Forward Continuation-Ratio model for marker selection along cell-fate trajectories

2026-07-24

Abstract excerpt

Time-course single-cell RNA sequencing (scRNA-seq) data collected across ordered stages provide population-level snapshots of differentiation, disease progression, and aging. Supervised pseudotime methods use observed stage labels to reconstruct continuous progression but generally do not identify marker genes associated with changes from one stage to the next. Unsupervised pseudotime-based marker selection method...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: b6e8bac3-1133-58bc-9be7-ef92a0f5a8b1
DOI: 10.64898/2026.07.20.739649

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

FusedFCR: A Fused Forward Continuation-Ratio model for marker selection along cell-fate trajectoriesDOI 10.64898/2026.07.20.739649Read

FT-Kernel: An innovative kernel for decoding cellular secrets related timeSemantic proximity Read

CellRank 2: unified fate mapping in multiview single-cell dataSemantic proximity Read

A unified analysis of cell-type and trajectory-associated pathways in single-cell data using PhoenixSemantic proximity Read

Identifying transcription factors driving cell differentiationSemantic proximity Read

Unified fate mapping in multiview single-cell dataSemantic proximity Read

Experimental Time Points Guided Transcriptomic Velocity InferenceSemantic proximity Read

Characterization of cell-fate decision landscapes by estimating transcription factor dynamicsSemantic proximity Read

Single-Cell Trajectory Inference for Detecting Transient Events in Biological ProcessesSemantic proximity Read

Generating and navigating single cell dynamics via a geodesic bridge between nonlinear transcriptional and linear latent manifoldsSemantic proximity Read

Uncovering Pseudotime-Varying Genetic Causal Effects Along Single-Cell Trajectories for Pulmonary Disease TraitSemantic proximity Read

scTrends: automated classification and strength quantification of gene expression trends along pseudotime in single-cell RNA-seqSemantic proximity Read

Tracing co-regulatory network dynamics in noisy, single-cell transcriptome trajectoriesSemantic proximity Read