Reconstructing Cell Lineages from Single-Cell Gene Expression Data: A Pilot Study

Abstract

The goal of this pilot study is to develop novel mathematical methods, by leveraging tools developed in the bifurcation theory, to infer the underlying cell-state dynamics from single-cell gene expression data. Our proposed method contains two steps. The first step is to reconstruct the temporal order of the cells from gene expression data, whereas the second step is to model the dynamic changes of gene expression patterns. The tools developed here will be useful for reconstruct developmental trajectories from single-cell gene expression data.

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Document Details

Document Type
Technical Report
Publication Date
Aug 30, 2016
Accession Number
AD1038409

Entities

People

  • Guo-cheng Yuan

Organizations

  • Dana–Farber Cancer Institute

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Agreements
  • Cell Line
  • Cell Lineage
  • Cells
  • Computational Biology
  • Computational Science
  • Department Of Defense
  • Engineering
  • Functional Analysis
  • Gene Expression
  • Genomics
  • Mathematics
  • Pilot Studies
  • Plastic Properties
  • Sequences
  • Students
  • Transcription Factors

Fields of Study

  • Biology

Readers

  • Distributed Systems and Data Platform Development
  • Molecular Genetics
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML