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Universality splitting in distribution of number of miRNA co-targets

Genomics · Submitted 16 Jan 2014

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

The authors' main claim In this article we discuss additional universal features of these networks and show that, this universality splits if one considers distribution of number of common targets of three or more number of miRNAs.

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arXiv ID1401.4055 (version 1)
Pith IDJIVN4YCD, Pith's permanent record of this paper and its review
CitationMahashweta Basu, Nitai P. Bhattacharyya, P. K. Mohanty. "Universality splitting in distribution of number of miRNA co-targets." arXiv:1401.4055 (2014). https://pith.science/paper/JIVN4YCD
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Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 3,678 input tokens, $0.0002 reported.

What the abstract itself states, as probabilities: claims first 0.05 · states limitation 0.33 · human participants 0.02 · controlled comparison 0.06 · randomized assignment 0.01 · states quantitative result 0.11 · compares with prior results 0.81 · mentions code or data availability 0.02.

The abstract, sentence by sentence

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

In a recent work [arXiv:1307.1382] it was pointed out that the link-weight distribution of microRNA (miRNA) co-target network of a wide class of species are universal up to scaling. The number cell types, widely accepted as a measure of complexity, turns out to be proportional to these scale-factor. In this article we discuss additional universal features of these networks and show that, this universality splits if one considers distribution of number of common targets of three or more number of miRNAs. These distributions for different species can be collapsed onto two distinct set of universal functions, revealing the fact that the species which appeared in early evolution have different complexity measure compared to those appeared late.

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 In a recent work [arXiv:1307.1382] it was pointed out that the link-weight distribution of microRNA (miRNA) co-target network of a wide class of species are universal up to scaling. background 1.00 0.03 0.05 asserted 0.99
s1 The number cell types, widely accepted as a measure of complexity, turns out to be proportional to these scale-factor. result 0.50 0.17 0.07 asserted 1.00
s2 In this article we discuss additional universal features of these networks and show that, this universality splits if one considers distribution of number of common targets of three or more number of miRNAs. contribution 0.54 0.89 0.81 asserted 1.00
s3 These distributions for different species can be collapsed onto two distinct set of universal functions, revealing the fact that the species which appeared in early evolution have different complexity measure compared to those appeared late. interpretation 0.51 0.85 0.52 asserted 1.00

What kind of paper the classifier reports this is: empirical study 0.78 · evidence from analysis of existing data 0.93.

What was examined, and what was not

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  • references and citing sentences
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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

In a recent work [arXiv:1307.1382] it was pointed out that the link-weight distribution of microRNA (miRNA) co-target network of a wide class of species are universal up to scaling. The number cell types, widely accepted as a measure of complexity, turns out to be proportional to these scale-factor. In this article we discuss additional universal features of these networks and show that, this universality splits if one considers distribution of number of common targets of three or more number of miRNAs. These distributions for different species can be collapsed onto two distinct set of universal functions, revealing the fact that the species which appeared in early evolution have different complexity measure compared to those appeared late.

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Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

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