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Towards the Human Genotope

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Peter Huggins, Lior Pachter, Bernd Sturmfels

Populations and Evolution · Submitted 9 Nov 2006

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

The authors' main claim We describe the application of our geometric approach to identifying structure in populations based on single nucleotide polymorphisms.

how it is stated · asserted 0.95 read the record →

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arXiv IDq-bio/0611032 (version 2)
Pith IDS6OUI3XM, Pith's permanent record of this paper and its review
CitationBernd Sturmfels, Lior Pachter, Peter Huggins. "Towards the Human Genotope." arXiv:q-bio/0611032 (2006). https://pith.science/paper/S6OUI3XM
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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, 4,818 input tokens.

What the abstract itself states, as probabilities: claims first 0.09 · states limitation 0.57 · human participants 0.48 · controlled comparison 0.03 · randomized assignment 0.01 · states quantitative result 0.05 · compares with prior results 0.32 · mentions code or data availability 0.03.

The abstract, sentence by sentence

arXiv listing abstract v2. Results and the main claim are underlined; .

The human genotope is the convex hull of all allele frequency vectors that can be obtained from the genotypes present in the human population. In this paper we take a few initial steps towards a description of this object, which may be fundamental for future population based genetics studies. Here we use data from the HapMap Project, restricted to two ENCODE regions, to study a subpolytope of the human genotope. We study three different approaches for obtaining informative low-dimensional projections of this subpolytope. The projections are specified by projection onto few tag SNPs, principal component analysis, and archetypal analysis. We describe the application of our geometric approach to identifying structure in populations based on single nucleotide polymorphisms.

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 The human genotope is the convex hull of all allele frequency vectors that can be obtained from the genotypes present in the human population. background 0.98 0.11 0.06 asserted 1.00
s1 In this paper we take a few initial steps towards a description of this object, which may be fundamental for future population based genetics studies. contribution 0.51 0.38 0.06 hedged possibility 0.97
s2 Here we use data from the HapMap Project, restricted to two ENCODE regions, to study a subpolytope of the human genotope. method 0.89 0.92 0.04 asserted 0.98
s3 We study three different approaches for obtaining informative low-dimensional projections of this subpolytope. method 0.51 0.92 0.04 asserted 0.96
s4 The projections are specified by projection onto few tag SNPs, principal component analysis, and archetypal analysis. method 0.97 0.78 0.04 asserted 0.99
s5 We describe the application of our geometric approach to identifying structure in populations based on single nucleotide polymorphisms. contribution 0.88 0.85 0.19 asserted 0.95

What kind of paper the classifier reports this is: method or tool 0.52 · evidence from analysis of existing data 1.00.

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  • figures and tables
  • 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

The human genotope is the convex hull of all allele frequency vectors that can be obtained from the genotypes present in the human population. In this paper we take a few initial steps towards a description of this object, which may be fundamental for future population based genetics studies. Here we use data from the HapMap Project, restricted to two ENCODE regions, to study a subpolytope of the human genotope. We study three different approaches for obtaining informative low-dimensional projections of this subpolytope. The projections are specified by projection onto few tag SNPs, principal component analysis, and archetypal analysis. We describe the application of our geometric approach to identifying structure in populations based on single nucleotide polymorphisms.

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