Year |
Citation |
Score |
2024 |
Lai Q, Dannenfelser R, Roussarie JP, Yao V. Disentangling associations between complex traits and cell types with . Biorxiv : the Preprint Server For Biology. PMID 38765980 DOI: 10.1101/2024.05.04.592534 |
0.713 |
|
2024 |
Dannenfelser R, Yao V. Splitpea: quantifying protein interaction network rewiring changes due to alternative splicing in cancer. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 29: 579-593. PMID 38160308 |
0.711 |
|
2023 |
Li L, Dannenfelser R, Zhu Y, Hejduk N, Segarra S, Yao V. Joint embedding of biological networks for cross-species functional alignment. Bioinformatics (Oxford, England). PMID 37632792 DOI: 10.1093/bioinformatics/btad529 |
0.702 |
|
2022 |
Jaiswal A, Verma A, Dannenfelser R, Melssen M, Tirosh I, Izar B, Kim TG, Nirschl CJ, Devi KSP, Olson WC, Slingluff CL, Engelhard VH, Garraway L, Regev A, Minkis K, et al. An activation to memory differentiation trajectory of tumor-infiltrating lymphocytes informs metastatic melanoma outcomes. Cancer Cell. 40: 524-544.e5. PMID 35537413 DOI: 10.1016/j.ccell.2022.04.005 |
0.539 |
|
2022 |
Sapoval N, Aghazadeh A, Nute MG, Antunes DA, Balaji A, Baraniuk R, Barberan CJ, Dannenfelser R, Dun C, Edrisi M, Elworth RAL, Kille B, Kyrillidis A, Nakhleh L, Wolfe CR, et al. Current progress and open challenges for applying deep learning across the biosciences. Nature Communications. 13: 1728. PMID 35365602 DOI: 10.1038/s41467-022-29268-7 |
0.701 |
|
2021 |
Choe JH, Watchmaker PB, Simic MS, Gilbert RD, Li AW, Krasnow NA, Downey KM, Yu W, Carrera DA, Celli A, Cho J, Briones JD, Duecker JM, Goretsky YE, Dannenfelser R, et al. SynNotch-CAR T cells overcome challenges of specificity, heterogeneity, and persistence in treating glioblastoma. Science Translational Medicine. 13. PMID 33910979 DOI: 10.1126/scitranslmed.abe7378 |
0.571 |
|
2020 |
Dannenfelser R, Allen GM, VanderSluis B, Koegel AK, Levinson S, Stark SR, Yao V, Tadych A, Troyanskaya OG, Lim WA. Discriminatory Power of Combinatorial Antigen Recognition in Cancer T Cell Therapies. Cell Systems. PMID 32916097 DOI: 10.1016/J.Cels.2020.08.002 |
0.689 |
|
2020 |
Roussarie JP, Yao V, Rodriguez-Rodriguez P, Oughtred R, Rust J, Plautz Z, Kasturia S, Albornoz C, Wang W, Schmidt EF, Dannenfelser R, Tadych A, Brichta L, Barnea-Cramer A, Heintz N, et al. Selective Neuronal Vulnerability in Alzheimer's Disease: A Network-Based Analysis. Neuron. PMID 32603655 DOI: 10.1016/J.Neuron.2020.06.010 |
0.678 |
|
2018 |
Jabeen S, Zucknick M, Nome M, Dannenfelser R, Fleischer T, Kumar S, Lüders T, von der Lippe Gythfeldt H, Troyanskaya O, Kyte JA, Børresen-Dale AL, Naume B, Tekpli X, Engebraaten O, Kristensen V. Serum cytokine levels in breast cancer patients during neoadjuvant treatment with bevacizumab. Oncoimmunology. 7: e1457598. PMID 30377556 DOI: 10.1080/2162402X.2018.1457598 |
0.483 |
|
2017 |
Dannenfelser R, Nome M, Tahiri A, Ursini-Siegel J, Vollan HKM, Haakensen VD, Helland Å, Naume B, Caldas C, Børresen-Dale AL, Kristensen VN, Troyanskaya OG. Data-driven analysis of immune infiltrate in a large cohort of breast cancer and its association with disease progression, ER activity, and genomic complexity. Oncotarget. 8: 57121-57133. PMID 28915659 DOI: 10.18632/Oncotarget.19078 |
0.587 |
|
2017 |
Clancy T, Dannenfelser R, Troyanskaya O, Malmberg KJ, Hovig E, Kristensen V. Bioinformatics approaches to profile the tumor microenvironment for immunotherapeutic discovery. Current Pharmaceutical Design. PMID 28699527 DOI: 10.2174/1381612823666170710154936 |
0.595 |
|
2017 |
Nirschl CJ, Suárez-Fariñas M, Izar B, Prakadan S, Dannenfelser R, Tirosh I, Liu Y, Zhu Q, Devi KSP, Carroll SL, Chau D, Rezaee M, Kim TG, Huang R, Fuentes-Duculan J, et al. IFNγ-Dependent Tissue-Immune Homeostasis Is Co-opted in the Tumor Microenvironment. Cell. 170: 127-141.e15. PMID 28666115 DOI: 10.1016/J.Cell.2017.06.016 |
0.597 |
|
2015 |
Quigley D, Silwal-Pandit L, Dannenfelser R, Langerød A, Vollan HK, Vaske C, Siegel JU, Troyanskaya O, Chin SF, Caldas C, Balmain A, Børresen-Dale AL, Kristensen V. Lymphocyte Invasion in IC10/Basal-Like Breast Tumors Is Associated with Wild-Type TP53. Molecular Cancer Research : McR. 13: 493-501. PMID 25351767 DOI: 10.1158/1541-7786.Mcr-14-0387 |
0.521 |
|
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