المؤلفون: Kaczmarzyk, Jakub R., Kurc, Tahsin M., Abousamra, Shahira, Gupta, Rajarsi, Saltz, Joel H., Koo, Peter K.

مصطلحات موضوعية: Quantitative Biology - Quantitative Methods, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Image and Video Processing, J.3, I.4.9, D.2.13

الوصول الحر: http://arxiv.org/abs/2206.06862Test

المؤلفون: Yu, Yiyang, Muthukumar, Shivani, Koo, Peter K

المساهمون: Martelli, Pier Luigi, National Institute of General Medical Sciences, National Institutes of Health, National Human Genome Research Institute of the National Institutes of Health, US National Institutes of Health

المصدر: Bioinformatics ; volume 40, issue 3 ; ISSN 1367-4803 1367-4811

الإتاحة: https://doi.org/10.1093/bioinformatics/btae092Test
https://academic.oup.com/bioinformatics/article-pdf/40/3/btae092/56886846/btae092.pdfTest

المؤلفون: Tang, Ziqi, Koo, Peter K

مصطلحات موضوعية: bioinformatics, quantitative biology, quantitative genetics

وصف الملف: application/pdf

العلاقة: https://repository.cshl.edu/id/eprint/41454/1/2024.02.29.582810v1.full.pdfTest; Tang, Ziqi, Koo, Peter K (March 2024) Evaluating the representational power of pre-trained DNA language models for regulatory genomics. bioRxiv. (Public Dataset) (Submitted)

الإتاحة: https://doi.org/10.1101/2024.02.29.582810Test
https://repository.cshl.edu/id/eprint/41454Test/
https://repository.cshl.edu/id/eprint/41454/1/2024.02.29.582810v1.full.pdfTest

المؤلفون: Majdandzic, Antonio, Rajesh, Chandana, Koo, Peter K.

المساهمون: National Human Genome Research Institute

المصدر: Genome Biology ; volume 24, issue 1 ; ISSN 1474-760X

الإتاحة: https://doi.org/10.1186/s13059-023-02956-3Test

المؤلفون: Lee, Nicholas Keone, Tang, Ziqi, Toneyan, Shushan, Koo, Peter K.

المساهمون: National Human Genome Research Institute

المصدر: Genome Biology ; volume 24, issue 1 ; ISSN 1474-760X

الإتاحة: https://doi.org/10.1186/s13059-023-02941-wTest

المؤلفون: Kaczmarzyk, Jakub R., Gupta, Rajarsi, Kurc, Tahsin M., Abousamra, Shahira, Saltz, Joel H., Koo, Peter K.

المساهمون: Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, National Institutes of Health, National Human Genome Research Institute, National Cancer Institute, National Institute of General Medical Sciences, Cold Spring Harbor Laboratory

المصدر: Computer Methods and Programs in Biomedicine ; volume 239, page 107631 ; ISSN 0169-2607

مصطلحات موضوعية: Health Informatics, Computer Science Applications, Software

الإتاحة: https://doi.org/10.1016/j.cmpb.2023.107631Test
https://api.elsevier.com/content/article/PII:S0169260723002961?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S0169260723002961?httpAccept=text/plainTest

المؤلفون: Seitz, Evan E., McCandlish, David M., Kinney, Justin B., Koo, Peter K.

المصدر: Nature Machine Intelligence; Jun2024, Vol. 6 Issue 6, p701-713, 13p

المؤلفون: Koo, Peter K., Mochrie, Simon G. J.

مصطلحات موضوعية: Physics - Biological Physics, Quantitative Biology - Quantitative Methods

الوصول الحر: http://arxiv.org/abs/1608.01419Test

المؤلفون: Somerville, Tim D. D., Xu, Yali, Wu, Xiaoli S., Maia-Silva, Diogo, Hur, Stella K., de Almeida, Larissa M. N., Preall, Jonathan B., Koo, Peter K., Vakoc, Christopher R.

المصدر: Proceedings of the National Academy of Sciences of the United States of America, 2020 May . 117(21), 11471-11482.

الوصول الحر: https://www.jstor.org/stable/26930971Test

المؤلفون: Tang, Ziqi, Toneyan, Shushan, Koo, Peter K

مصطلحات موضوعية: bioinformatics, genomics and proteomics, animal, hominids, human, mammal, primates

وصف الملف: application/pdf

العلاقة: https://repository.cshl.edu/id/eprint/41332/1/s41588-023-01517-5%20%281%29.pdfTest; Tang, Ziqi, Toneyan, Shushan, Koo, Peter K (December 2023) Current approaches to genomic deep learning struggle to fully capture human genetic variation. Nature Genetics, 55 (12). pp. 2021-2022. ISSN 1061-4036

الإتاحة: https://doi.org/10.1038/s41588-023-01517-5Test
https://repository.cshl.edu/id/eprint/41332Test/
https://repository.cshl.edu/id/eprint/41332/1/s41588-023-01517-5%20%281%29.pdfTest
https://www.ncbi.nlm.nih.gov/pubmed/38036789Test