Fritz Lekschas
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Explore the profile of Fritz Lekschas including associated specialties, affiliations and a list of published articles.
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Articles
18
Citations
1285
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Recent Articles
1.
Manz T, Lekschas F, Greene E, Finak G, Gehlenborg N
IEEE Trans Vis Comput Graph
. 2024 Sep;
31(1):283-293.
PMID: 39255153
Projecting high-dimensional vectors into two dimensions for visualization, known as embedding visualization, facilitates perceptual reasoning and interpretation. Comparing multiple embedding visualizations drives decision-making in many domains, but traditional comparison methods...
2.
Nair S, Barrett A, Li D, Raney B, Lee B, Kerpedjiev P, et al.
Nat Genet
. 2022 Oct;
54(11):1581-1583.
PMID: 36241719
No abstract available.
3.
LYi S, Wang Q, Lekschas F, Gehlenborg N
IEEE Trans Vis Comput Graph
. 2021 Oct;
28(1):140-150.
PMID: 34596551
The combination of diverse data types and analysis tasks in genomics has resulted in the development of a wide range of visualization techniques and tools. However, most existing tools are...
4.
Lekschas F, Peterson B, Haehn D, Ma E, Gehlenborg N, Pfister H
Comput Graph Forum
. 2021 Aug;
39(3):167-179.
PMID: 34334852
We present Peax, a novel feature-based technique for interactive visual pattern search in sequential data, like time series or data mapped to a genome sequence. Visually searching for patterns by...
5.
Nasser J, Bergman D, Fulco C, Guckelberger P, Doughty B, Patwardhan T, et al.
Nature
. 2021 Apr;
593(7858):238-243.
PMID: 33828297
Genome-wide association studies (GWAS) have identified thousands of noncoding loci that are associated with human diseases and complex traits, each of which could reveal insights into the mechanisms of disease....
6.
Lekschas F, Zhou X, Chen W, Gehlenborg N, Bach B, Pfister H
IEEE Trans Vis Comput Graph
. 2020 Oct;
27(2):358-368.
PMID: 33026994
Small multiples are miniature representations of visual information used generically across many domains. Handling large numbers of small multiples imposes challenges on many analytic tasks like inspection, comparison, navigation, or...
7.
Lekschas F, Behrisch M, Bach B, Kerpedjiev P, Gehlenborg N, Pfister H
IEEE Trans Vis Comput Graph
. 2019 Aug;
26(1):611-621.
PMID: 31442989
We present Scalable Insets, a technique for interactively exploring and navigating large numbers of annotated patterns in multiscale visualizations such as gigapixel images, matrices, or maps. Exploration of many but...
8.
Behrisch M, Schreck T, Kruger R, Gehlenborg N, Lekschas F, Pfister H
2018 Int Symp Big Data Vis Immers Analyt (BDVA) (2018)
. 2019 Aug;
2018.
PMID: 31396383
Pattern extraction algorithms are enabling insights into the ever-growing amount of today's datasets by translating reoccurring data properties into compact representations. Yet, a practical problem arises: With increasing data volumes...
9.
Kerpedjiev P, Abdennur N, Lekschas F, McCallum C, Dinkla K, Strobelt H, et al.
Genome Biol
. 2018 Aug;
19(1):125.
PMID: 30143029
We present HiGlass, an open source visualization tool built on web technologies that provides a rich interface for rapid, multiplex, and multiscale navigation of 2D genomic maps alongside 1D genomic...
10.
Kurtz A, Seltmann S, Bairoch A, Bittner M, Bruce K, Capes-Davis A, et al.
Stem Cell Reports
. 2018 Jan;
10(1):1-6.
PMID: 29320760
Unambiguous cell line authentication is essential to avoid loss of association between data and cells. The risk for loss of references increases with the rapidity that new human pluripotent stem...