Yelin Zhao

Publikationer
Populärvetenskap och samverkan

Artiklar

Article: CANCER RESEARCH. 2025;85(13):2514-2526
Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Article: COMMUNICATIONS MEDICINE. 2024;4(1):234
Multiomics biomarkers were not superior to clinical variables for pan-cancer screening
Smelik M; Zhao Y; Mansour Aly D; Mahmud AKMF; Sysoev O; Li X; Benson M
Article: SCIENTIFIC REPORTS. 2024;14(1):12710
An interactive atlas of genomic, proteomic, and metabolomic biomarkers promotes the potential of proteins to predict complex diseases
Smelik M; Zhao Y; Li X; Loscalzo J; Sysoev O; Mahmud F; Mansour Aly D; Benson M
Article: JOURNAL OF TRANSLATIONAL MEDICINE. 2024;22(1):444
Transcript and protein signatures derived from shared molecular interactions across cancers are associated with mortality
Zhao Y; Li X; Loscalzo J; Smelik M; Sysoev O; Wang Y; Mahmud AKMF; Mansour Aly D; Benson M
Article: GENOME MEDICINE. 2024;16(1):42
scDrugPrio: a framework for the analysis of single-cell transcriptomics to address multiple problems in precision medicine in immune-mediated inflammatory diseases
Schafer S; Smelik M; Sysoev O; Zhao Y; Eklund D; Lilja S; Gustafsson M; Heyn H; Julia A; Kovacs IA; Loscalzo J; Marsal S; Zhang H; Li X; Gawel D; Wang H; Benson M
Article: CELL REPORTS MEDICINE. 2023;4(3):100956
Multi-organ single-cell analysis reveals an on/off switch system with potential for personalized treatment of immunological diseases
Lilja S; Li X; Smelik M; Lee EJ; Loscalzo J; Marthanda PB; Hu L; Magnusson M; Sysoev O; Zhang H; Zhao Y; Sjowall C; Gawel D; Wang H; Benson M
Article: GENOME MEDICINE. 2022;14(1):48
A dynamic single cell-based framework for digital twins to prioritize disease genes and drug targets
Li X; Lee EJ; Lilja S; Loscalzo J; Schafer S; Smelik M; Strobl MR; Sysoev O; Wang H; Zhang H; Zhao Y; Gawel DR; Bohle B; Benson M
Journal article: CANADIAN JOURNAL OF CARDIOLOGY. 2021;37(10):1522-1529
Catastrophic Cardiac Events During Transcatheter Aortic Valve
Liang Y; Dhoble A; Pakanati A; Zhao Y; Kork F; Ruan W; Markham T; Smalling R; Balan P; Estrera A; Nguyen TC; Gregoric I; Kar B; Eltzschig H
Journal article: PACE-PACING AND CLINICAL ELECTROPHYSIOLOGY. 2020;43(5):479-485
Validation of scoring system predicting permanent pacemaker implantation after transcatheter aortic valve replacement
Shivamurthy P; Vejpongsa P; Gurung S; Jacob R; Zhao Y; Anderson HV; Balan P; Nguyen TC; Estrera AL; Dougherty AH; Smalling RW; Dhoble A
Journal article: BRAZILIAN JOURNAL OF CARDIOVASCULAR SURGERY. 2019;34(6):788-790
Predictors and Prognostic Impact of In-hospital Bleeding after Transcatheter Aortic Valve Replacement According to BARC and VARC-2 Definitions
daSilva-deAbreu A; Zhao Y; Serauto-Canache A; Alhafez B; Aribindi K; Balan P; Loyalka P; Kar B; Smalling R; Anderson HV; Dhoble A; Siepmann T; Arain SA
Journal article: RESUSCITATION. 2019;144:46-53
The cardiac arrest survival score: A predictive algorithm for in-hospital mortality after out-of-hospital cardiac arrest
Balan P; Hsi B; Thangam M; Zhao Y; Monlezun D; Arain S; Charitakis K; Dhoble A; Johnson N; Anderson HV; Persse D; Warner M; Ostermayer D; Prater S; Wang H; Doshi P
Journal article: JOURNAL OF CARDIOVASCULAR SURGERY. 2019;60(1):119-127
National 10-year trends and outcomes of isolated and concomitant tricuspid valve surgery
Dhoble A; Zhao Y; Vejpongsa P; Loghin C; Smalling RW; Estrera A; Nguyen TC

Alla övriga publikationer

Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2025
Figure S6 from Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2025
Figure S20 from Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2025
Figure S15 from Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2025
Table S1 from Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2025
Figure S16 from Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2025
Figure S13 from Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2025
Figure S11 from Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2025
Figure S5 from Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2025
Figure S1 from Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2025
Figure S17 from Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2025
Figure S4 from Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2025
Figure S10 from Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2025
Data S1 from Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2025
Figure S19 from Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2025
Data from Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2025
Figure S8 from Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2025
Figure S22 from Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2025
Figure S21 from Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2025
Figure S3 from Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2025
Data S2 from Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2025
Table S2 from Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2025
Figure S7 from Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2025
Note S1 from Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2025
Figure S12 from Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2025
Figure S9 from Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2025
Data S3 from Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2025
Figure S14 from Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2025
Figure S18 from Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Other: AMERICAN ASSOCIATION FOR CANCER RESEARCH (AACR). 2025
Figure S2 from Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer
Smelik M; Diaz-Roncero Gonzalez D; An X; Heer R; Henningsohn L; Li X; Wang H; Zhao Y; Benson M
Doctoral thesis: 2024
Prioritization of mechanisms and potential biomarkers in inflammatory and malignant diseases
Zhao Y
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