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Identification of Biomarkers Driving Blood Cell Development

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Maryam Nazarieh, Volkhard Helms

Genomics · Submitted 4 Dec 2019

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim We deploy this pattern to identify the cell-specific key regulators responsible for the development.

how it is stated · asserted 0.99 read the record →

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arXiv ID1912.01890 (version 1)
Pith ID3KO22G7E, Pith's permanent record of this paper and its review
CitationMaryam Nazarieh, Volkhard Helms. "Identification of Biomarkers Driving Blood Cell Development." arXiv:1912.01890 (2019). https://pith.science/paper/3KO22G7E
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The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,206 input tokens.

What the abstract itself states, as probabilities: claims first 0.13 · states limitation 0.23 · human participants 0.03 · controlled comparison 0.04 · randomized assignment 0.01 · states quantitative result 0.27 · compares with prior results 0.07 · mentions code or data availability 0.03.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

A blood cell lineage consists of several consecutive developmental stages from the pluripotent or multipotent stem cell to a particular stage of terminally differentiated cells. There is considerable interest in identifying the key regulatory genes that govern blood cell development from the gene expression data without considering the underlying network between transcription factors (TFs) and their target genes. In this study, we introduce a novel expression pattern that key regulators expose along the differentiation path. We deploy this pattern to identify the cell-specific key regulators responsible for the development. As proof of concept, we consider this approach to data on six developmental stages from mouse embryonic stem cells to terminally differentiated macrophages.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 A blood cell lineage consists of several consecutive developmental stages from the pluripotent or multipotent stem cell to a particular stage of terminally differentiated cells. background 1.00 0.04 0.02 asserted 1.00
s1 There is considerable interest in identifying the key regulatory genes that govern blood cell development from the gene expression data without considering the underlying network between transcription factors (TFs) and their target genes. background 0.67 0.06 0.04 asserted 0.93
s2 In this study, we introduce a novel expression pattern that key regulators expose along the differentiation path. contribution 0.98 0.86 0.14 asserted 0.99
s3 We deploy this pattern to identify the cell-specific key regulators responsible for the development. method 0.71 0.93 0.15 asserted 0.99
s4 As proof of concept, we consider this approach to data on six developmental stages from mouse embryonic stem cells to terminally differentiated macrophages. method 0.83 0.92 0.06 asserted 0.94

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from analysis of existing data 0.93.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
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  • P abstract
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  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

A blood cell lineage consists of several consecutive developmental stages from the pluripotent or multipotent stem cell to a particular stage of terminally differentiated cells. There is considerable interest in identifying the key regulatory genes that govern blood cell development from the gene expression data without considering the underlying network between transcription factors (TFs) and their target genes. In this study, we introduce a novel expression pattern that key regulators expose along the differentiation path. We deploy this pattern to identify the cell-specific key regulators responsible for the development. As proof of concept, we consider this approach to data on six developmental stages from mouse embryonic stem cells to terminally differentiated macrophages.

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