Pretraga

Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 1236927

Analysis of the Human Protein Atlas Weakly Supervised Single-Cell Classification competition

Le, Trang; Winsnes, Casper F.; Axelsson, Ulrika; Xu, Hao; Mohanakrishnan Kaimal, Jayasankar; Mahdessian, Diana; Dai, Shubin; Makarov, Ilya S.; Ostankovich, Vladislav; Xu, Yang et al.
Analysis of the Human Protein Atlas Weakly Supervised Single-Cell Classification competition // Nature methods, 19 (2022), 10; 1221-1229 doi:10.1038/s41592-022-01606-z (međunarodna recenzija, članak, znanstveni)

CROSBI ID: 1236927 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Analysis of the Human Protein Atlas Weakly Supervised Single-Cell Classification competition

Autori
Le, Trang ; Winsnes, Casper F. ; Axelsson, Ulrika ; Xu, Hao ; Mohanakrishnan Kaimal, Jayasankar ; Mahdessian, Diana ; Dai, Shubin ; Makarov, Ilya S. ; Ostankovich, Vladislav ; Xu, Yang ; Benhamou, Eric ; Henkel, Christof ; Solovyev, Roman A. ; Banić, Nikola ; Bošnjak, Vito ; Bošnjak, Ana ; Miličević, Andrija ; Ouyang, Wei ; Lundberg, Emma

Izvornik
Nature methods (1548-7091) 19 (2022), 10; 1221-1229

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
fluorescence imaging ; human protein atlas ; single-cell classification ; single-cell features ; cellular dynamics

Sažetak
While spatial proteomics by fluorescence imaging has quickly become an essential discovery tool for researchers, fast and scalable methods to classify and embed single-cell protein distributions in such images are lacking. Here, we present the design and analysis of the results from the competition Human Protein Atlas – Single-Cell Classification hosted on the Kaggle platform. This represents a crowd-sourced competition to develop machine learning models trained on limited annotations to label single-cell protein patterns in fluorescent images. The particular challenges of this competition include class imbalance, weak labels and multi-label classification, prompting competitors to apply a wide range of approaches in their solutions. The winning models serve as the first subcellular omics tools that can annotate single-cell locations, extract single-cell features and capture cellular dynamics.

Izvorni jezik
Engleski



POVEZANOST RADA

Profili:

Avatar Url Nikola Banić (autor)

Avatar Url Andrija Miličević (autor)

Poveznice na cjeloviti tekst rada:

doi www.nature.com www.nature.com

Citiraj ovu publikaciju:

Le, Trang; Winsnes, Casper F.; Axelsson, Ulrika; Xu, Hao; Mohanakrishnan Kaimal, Jayasankar; Mahdessian, Diana; Dai, Shubin; Makarov, Ilya S.; Ostankovich, Vladislav; Xu, Yang et al.
Analysis of the Human Protein Atlas Weakly Supervised Single-Cell Classification competition // Nature methods, 19 (2022), 10; 1221-1229 doi:10.1038/s41592-022-01606-z (međunarodna recenzija, članak, znanstveni)
Le, T., Winsnes, C., Axelsson, U., Xu, H., Mohanakrishnan Kaimal, J., Mahdessian, D., Dai, S., Makarov, I., Ostankovich, V. & Xu, Y. (2022) Analysis of the Human Protein Atlas Weakly Supervised Single-Cell Classification competition. Nature methods, 19 (10), 1221-1229 doi:10.1038/s41592-022-01606-z.
@article{article, author = {Le, Trang and Winsnes, Casper F. and Axelsson, Ulrika and Xu, Hao and Mohanakrishnan Kaimal, Jayasankar and Mahdessian, Diana and Dai, Shubin and Makarov, Ilya S. and Ostankovich, Vladislav and Xu, Yang and Benhamou, Eric and Henkel, Christof and Solovyev, Roman A. and Bani\'{c}, Nikola and Bo\v{s}njak, Vito and Bo\v{s}njak, Ana and Mili\v{c}evi\'{c}, Andrija and Ouyang, Wei and Lundberg, Emma}, year = {2022}, pages = {1221-1229}, DOI = {10.1038/s41592-022-01606-z}, keywords = {fluorescence imaging, human protein atlas, single-cell classification, single-cell features, cellular dynamics}, journal = {Nature methods}, doi = {10.1038/s41592-022-01606-z}, volume = {19}, number = {10}, issn = {1548-7091}, title = {Analysis of the Human Protein Atlas Weakly Supervised Single-Cell Classification competition}, keyword = {fluorescence imaging, human protein atlas, single-cell classification, single-cell features, cellular dynamics} }
@article{article, author = {Le, Trang and Winsnes, Casper F. and Axelsson, Ulrika and Xu, Hao and Mohanakrishnan Kaimal, Jayasankar and Mahdessian, Diana and Dai, Shubin and Makarov, Ilya S. and Ostankovich, Vladislav and Xu, Yang and Benhamou, Eric and Henkel, Christof and Solovyev, Roman A. and Bani\'{c}, Nikola and Bo\v{s}njak, Vito and Bo\v{s}njak, Ana and Mili\v{c}evi\'{c}, Andrija and Ouyang, Wei and Lundberg, Emma}, year = {2022}, pages = {1221-1229}, DOI = {10.1038/s41592-022-01606-z}, keywords = {fluorescence imaging, human protein atlas, single-cell classification, single-cell features, cellular dynamics}, journal = {Nature methods}, doi = {10.1038/s41592-022-01606-z}, volume = {19}, number = {10}, issn = {1548-7091}, title = {Analysis of the Human Protein Atlas Weakly Supervised Single-Cell Classification competition}, keyword = {fluorescence imaging, human protein atlas, single-cell classification, single-cell features, cellular dynamics} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE
  • Nature Index

Citati:

    Altmetrijski pokazatelji:


    Podijeli:





    Contrast
    Increase Font
    Decrease Font
    Dyslexic Font
    CROSBI koristi kolačiće (cookies) kako bi poboljšao funkcionalnost stranice.