Using machine learning to predict ovarian cancer M Lu, Z Fan, B Xu, L Chen, X Zheng, J Li, T Znati, Q Mi, J Jiang International journal of medical informatics 141, 104195, 2020 | 108 | 2020 |
Machine learning derivation of four computable 24-h pediatric sepsis phenotypes to facilitate enrollment in early personalized anti-inflammatory clinical trials Y Qin, KF Kernan, Z Fan, HJ Park, S Kim, SW Canna, JA Kellum, RA Berg, ... Critical Care 26 (1), 128, 2022 | 30 | 2022 |
Transcriptional programs driving shear stress-induced differentiation of kidney proximal tubule cells in culture HJ Park, Z Fan, Y Bai, Q Ren, Y Rbaibi, KR Long, ML Gliozzi, ... Frontiers in physiology 11, 587358, 2020 | 28 | 2020 |
3′-UTR shortening contributes to subtype-specific cancer growth by breaking stable ceRNA crosstalk of housekeeping genes Z Fan, S Kim, Y Bai, B Diergaarde, HJ Park Frontiers in Bioengineering and Biotechnology 8, 334, 2020 | 17 | 2020 |
The microRNA target site landscape is a novel molecular feature associating alternative polyadenylation with immune evasion activity in breast cancer S Kim, YL Bai, Z Fan, B Diergaarde, GC Tseng, HJ Park Briefings in Bioinformatics 22 (3), bbaa191, 2021 | 14 | 2021 |
Hyperferritinemic sepsis, macrophage activation syndrome, and mortality in a pediatric research network: a causal inference analysis Z Fan, KF Kernan, Y Qin, S Canna, RA Berg, D Wessel, MM Pollack, ... Critical Care 347 (2023), 2023 | 8 | 2023 |
Deep neural networks with knockoff features identify nonlinear causal relations and estimate effect sizes in complex biological systems Z Fan, KF Kernan, A Sriram, PV Benos, SW Canna, JA Carcillo, S Kim, ... GigaScience 12, giad044, 2023 | 5 | 2023 |
scMAPA: Identification of cell-type–specific alternative polyadenylation in complex tissues Y Bai, Y Qin, Z Fan, RM Morrison, KN Nam, HM Zarour, R Koldamova, ... Gigascience 11, giac033, 2022 | 3 | 2022 |
Causal inference using deep-learning variable selection identifies and incorporates direct and indirect causalities in complex biological systems Z Fan, KF Kernan, PV Benos, GF Cooper, SW Canna, JA Carcillo, S Kim, ... bioRxiv, 2021.07. 17.452800, 2021 | 2 | 2021 |
Alternative polyadenylation regulates patient-specific tumor growth by individualizing the MicroRNA target site landscape S Kim, Y Bai, Z Fan, B Diergaarde, GC Tseng, HJ Park | 2 | 2019 |
1453: FOUR COMPUTABLE 24-HOUR PEDIATRIC SEPSIS PHENOTYPES HAVE DIFFERENT INFLAMMATION PROFILES Y Qin, Z Fan, HJ Park, J Carcillo Critical Care Medicine 50 (1), 729, 2022 | 1 | 2022 |
Unveiling the Gut Microbiome Network Fingerprint: A Deep Learning Approach to Predict Immunotherapy Response in Melanoma Patients. J Sun, Z Fan, A Sriram, HJ Park bioRxiv, 2024.10. 21.619471, 2024 | | 2024 |
Deep neural network learning biological condition information refines gene-expression-based cell subtypes Z Fan, J Sun, H Thorpe, S Lee, S Kim, HJ Park Briefings in Bioinformatics 25 (1), bbad512, 2024 | | 2024 |
Elucidating complex biological interactions using computational techniques Z Fan University of Pittsburgh, 2023 | | 2023 |
Derivation of four computable 24-hour pediatric sepsis phenotypes to facilitate personalized enrollment in early precise anti-inflammatory clinical trials Y Qin, KF Kernan, Z Fan, HJ Park, S Kim, SW Canna, JA Kellum, RA Berg, ... medRxiv, 2021.12. 02.21267016, 2021 | | 2021 |
The microRNA target site landscape is a novel molecular feature associating alternative polyadenylation with immune evasion activity in breast cancer HJP Soyeon Kim, YuLong Bai, Zhenjiang Fan, Brenda Diergaarde, George C Tseng Briefings in Bioinformatics 22 (3), bbaa191, 2021 | | 2021 |
Cell-type-specific alternative polyadenylation (APA) genes reveal the function of dynamic APA in complex tissues Y Bai, Y Qin, Z Fan, RM Morrison, KN Nam, HM Zarour, R Koldamova, ... bioRxiv, 2020.07. 30.229096, 2020 | | 2020 |
Identifying genes and cell types with dynamic alternative polyadenylation in multi-cluster single-cell transcriptomics data YL Bai, Y Qin, S Kim, Z Fan, KN Nam, R Koldamova, QS Padiath, HJ Park | | |