Ying Ding (Y Ding)

Pitt ID Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 36

Top Venues

Journal of clinical oncology : official journal of the American Society of Clinical Oncology

PLoS computational biology

Nature communications

Biometrics

Eli Lilly and Company

University of Michigan (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Eli Lilly and Company Nov 09 2009 - Jan 03 2013

United States

Senior Research Scientist

Education History

University of Michigan Sep 01 2005 - Nov 10 2009

United States

PHD :: Biostatistics

Nanjing University Sep 01 1999 - Jul 01 2003

China

BSC :: Mathematics

Publications

Haoran Hu, Xinjun Wang, Site Feng, Zhongli Xu, Jing Liu, Elisa Heidrich-O'Hare, Yanshuo Chen, Molin Yue, Lang Zeng, Ziqi Rong, Tianmeng Chen, Timothy R Billiar, Ying Ding, Heng Huang, Richard H Duerr, Wei Chen
A unified model-based framework for doublet or multiplet detection in single-cell multiomics data. Nature communications 15 (1) (2024)
Lujia Chen, Ying Wang, Chunhui Cai, Ying Ding, Rim S Kim, Corey Lipchik, Patrick G Gavin, Greg Yothers, Carmen J Allegra, Nicholas J Petrelli, Jennifer Marie Suga, Judith O Hopkins, Naoyuki G Saito, Terry Evans, Srinivas Jujjavarapu, Norman Wolmark, Peter C Lucas, Soonmyung Paik, Min Sun, Katherine L Pogue-Geile, Xinghua Lu
Machine Learning Predicts Oxaliplatin Benefit in Early Colon Cancer. Journal of clinical oncology : official journal of the American Society of Clinical Oncology 42 (13) (2024)
Haoran Hu, Xinjun Wang, Site Feng, Zhongli Xu, Jing Liu, Elisa Heidrich-O'Hare, Yanshuo Chen, Molin Yue, Lang Zeng, Ziqi Rong, Tianmeng Chen, Timothy R Billiar, Ying Ding, Heng Huang, Richard H Duerr, Wei Chen
A unified model-based framework for doublet or multiplet detection in single-cell multiomics data. Nature communications 15 (1) (2024)
Lujia Chen, Ying Wang, Chunhui Cai, Ying Ding, Rim S Kim, Corey Lipchik, Patrick G Gavin, Greg Yothers, Carmen J Allegra, Nicholas J Petrelli, Jennifer Marie Suga, Judith O Hopkins, Naoyuki G Saito, Terry Evans, Srinivas Jujjavarapu, Norman Wolmark, Peter C Lucas, Soonmyung Paik, Min Sun, Katherine L Pogue-Geile, Xinghua Lu
Machine Learning Predicts Oxaliplatin Benefit in Early Colon Cancer. Journal of clinical oncology : official journal of the American Society of Clinical Oncology 42 (13) (2024)
Lujia Chen, Ying Wang, Chunhui Cai, Ying Ding, Rim S Kim, Corey Lipchik, Patrick G Gavin, Greg Yothers, Carmen J Allegra, Nicholas J Petrelli, Jennifer Marie Suga, Judith O Hopkins, Naoyuki G Saito, Terry Evans, Srinivas Jujjavarapu, Norman Wolmark, Peter C Lucas, Soonmyung Paik, Min Sun, Katherine L Pogue-Geile, Xinghua Lu
Machine Learning Predicts Oxaliplatin Benefit in Early Colon Cancer. Journal of clinical oncology : official journal of the American Society of Clinical Oncology (2024)
Lujia Chen, Ying Wang, Chunhui Cai, Ying Ding, Rim S Kim, Corey Lipchik, Patrick G Gavin, Greg Yothers, Carmen J Allegra, Nicholas J Petrelli, Jennifer Marie Suga, Judith O Hopkins, Naoyuki G Saito, Terry Evans, Srinivas Jujjavarapu, Norman Wolmark, Peter C Lucas, Soonmyung Paik, Min Sun, Katherine L Pogue-Geile, Xinghua Lu
Machine Learning Predicts Oxaliplatin Benefit in Early Colon Cancer. Journal of clinical oncology : official journal of the American Society of Clinical Oncology (2024)
Haoran Hu, Xinjun Wang, Site Feng, Zhongli Xu, Jing Liu, Elisa Heidrich-O'Hare, Yanshuo Chen, Molin Yue, Lang Zeng, Ziqi Rong, Tianmeng Chen, Timothy R Billiar, Ying Ding, Heng Huang, Richard H Duerr, Wei Chen
A unified model-based framework for doublet or multiplet detection in single-cell multiomics data. Nature communications 15 (1) (2024)
Lujia Chen, Ying Wang, Chunhui Cai, Ying Ding, Rim S Kim, Corey Lipchik, Patrick G Gavin, Greg Yothers, Carmen J Allegra, Nicholas J Petrelli, Jennifer Marie Suga, Judith O Hopkins, Naoyuki G Saito, Terry Evans, Srinivas Jujjavarapu, Norman Wolmark, Peter C Lucas, Soonmyung Paik, Min Sun, Katherine L Pogue-Geile, Xinghua Lu
Machine Learning Predicts Oxaliplatin Benefit in Early Colon Cancer. Journal of clinical oncology : official journal of the American Society of Clinical Oncology (2024)
Lujia Chen, Ying Wang, Chunhui Cai, Ying Ding, Rim S Kim, Corey Lipchik, Patrick G Gavin, Greg Yothers, Carmen J Allegra, Nicholas J Petrelli, Jennifer Marie Suga, Judith O Hopkins, Naoyuki G Saito, Terry Evans, Srinivas Jujjavarapu, Norman Wolmark, Peter C Lucas, Soonmyung Paik, Min Sun, Katherine L Pogue-Geile, Xinghua Lu
Machine Learning Predicts Oxaliplatin Benefit in Early Colon Cancer. Journal of clinical oncology : official journal of the American Society of Clinical Oncology (2024)
Lujia Chen, Ying Wang, Chunhui Cai, Ying Ding, Rim S Kim, Corey Lipchik, Patrick G Gavin, Greg Yothers, Carmen J Allegra, Nicholas J Petrelli, Jennifer Marie Suga, Judith O Hopkins, Naoyuki G Saito, Terry Evans, Srinivas Jujjavarapu, Norman Wolmark, Peter C Lucas, Soonmyung Paik, Min Sun, Katherine L Pogue-Geile, Xinghua Lu
Machine Learning Predicts Oxaliplatin Benefit in Early Colon Cancer. Journal of clinical oncology : official journal of the American Society of Clinical Oncology 42 (13) (2024)
Cheng-Yu Tsai, Toshie Saito, Mayur Sarangdhar, Maisam Abu-El-Haija, Li Wen, Bomi Lee, Mang Yu, Den A Lipata, Murli Manohar, Monique T Barakat, Kevin Contrepois, Thai Hoa Tran, Yves Theoret, Na Bo, Ying Ding, Kristen Stevenson, Elena J Ladas, Lewis B Silverman, Loredana Quadro, Tracy G Anthony, Anil G Jegga, Sohail Z Husain
A systems approach points to a therapeutic role for retinoids in asparaginase-associated pancreatitis. Science translational medicine 15 (687) (2023)
J M Krivinko, M R DeChellis-Marks, L Zeng, P Fan, Oscar L Lopez, Ying Ding, L Wang, J Kofler, M L MacDonald, Robert A Sweet
Targeting the post-synaptic proteome has therapeutic potential for psychosis in Alzheimer Disease. Communications biology 6 (1) (2023)
Cheng-Yu Tsai, Toshie Saito, Mayur Sarangdhar, Maisam Abu-El-Haija, Li Wen, Bomi Lee, Mang Yu, Den A Lipata, Murli Manohar, Monique T Barakat, Kevin Contrepois, Thai Hoa Tran, Yves Theoret, Na Bo, Ying Ding, Kristen Stevenson, Elena J Ladas, Lewis B Silverman, Loredana Quadro, Tracy G Anthony, Anil G Jegga, Sohail Z Husain
A systems approach points to a therapeutic role for retinoids in asparaginase-associated pancreatitis. Science translational medicine 15 (687) (2023)
Juan Luis Gomez Marti, Azadeh Nasrazadani, Ying Ding, Daniel Normolle, Adam M Brufsky
Twenty-Year Follow-Up of a Phase II Trial of Taxotere/Carboplatin/Herceptin in Patients With Metastatic HER2-Positive Breast Cancer. The oncologist (2023)
Cheng-Yu Tsai, Toshie Saito, Mayur Sarangdhar, Maisam Abu-El-Haija, Li Wen, Bomi Lee, Mang Yu, Den A Lipata, Murli Manohar, Monique T Barakat, Kevin Contrepois, Thai Hoa Tran, Yves Theoret, Na Bo, Ying Ding, Kristen Stevenson, Elena J Ladas, Lewis B Silverman, Loredana Quadro, Tracy G Anthony, Anil G Jegga, Sohail Z Husain
A systems approach points to a therapeutic role for retinoids in asparaginase-associated pancreatitis. Science translational medicine 15 (687) (2023)
Xueer Chen, Lujia Chen, Cornelius H L Kürten, Fattaneh Jabbari, Lazar Vujanovic, Ying Ding, Binfeng Lu, Kevin Lu, Aditi Kulkarni, Tracy Tabib, Robert Lafyatis, Gregory F Cooper, Robert Ferris, Xinghua Lu
An individualized causal framework for learning intercellular communication networks that define microenvironments of individual tumors. PLoS computational biology 18 (12) (2022)
Alireza Ganjdanesh, Jipeng Zhang, Emily Y Chew, Ying Ding, Heng Huang, Wei Chen
LONGL-Net: temporal correlation structure guided deep learning model to predict longitudinal age-related macular degeneration severity. PNAS nexus 1 (1) (2022)
Xinjun Wang, Zhongli Xu, Haoran Hu, Xueping Zhou, Yanfu Zhang, Robert A Lafyatis, Kong Chen, Heng Huang, Ying Ding, Richard H Duerr, Wei Chen
SECANT: a biology-guided semi-supervised method for clustering, classification, and annotation of single-cell multi-omics. PNAS nexus 1 (4) (2022)
Brandon C McKinney, Lora L McClain, Christopher M Hensler, Yue Wei, Lambertus Klei, David A Lewis, Bernie Devlin, Jiebiao Wang, Ying Ding, Robert A Sweet
Schizophrenia-associated differential DNA methylation in brain is distributed across the genome and annotated to MAD1L1, a locus at which DNA methylation and transcription phenotypes share genetic variation with schizophrenia risk. Translational psychiatry 12 (1) (2022)
Xueer Chen, Lujia Chen, Cornelius H L Kürten, Fattaneh Jabbari, Lazar Vujanovic, Ying Ding, Binfeng Lu, Kevin Lu, Aditi Kulkarni, Tracy Tabib, Robert Lafyatis, Gregory F Cooper, Robert Ferris, Xinghua Lu
An individualized causal framework for learning intercellular communication networks that define microenvironments of individual tumors. PLoS computational biology 18 (12) (2022)
Tao Sun, Ying Ding
Neural network on interval-censored data with application to the prediction of Alzheimer's disease. Biometrics (2022)
Xueer Chen, Lujia Chen, Cornelius H L Kürten, Fattaneh Jabbari, Lazar Vujanovic, Ying Ding, Binfeng Lu, Kevin Lu, Aditi Kulkarni, Tracy Tabib, Robert Lafyatis, Gregory F Cooper, Robert Ferris, Xinghua Lu
An individualized causal framework for learning intercellular communication networks that define microenvironments of individual tumors. PLoS computational biology 18 (12) (2022)
Tao Sun, Yu Cheng, Ying Ding
An information ratio-based goodness-of-fit test for copula models on censored data. Biometrics (2022)
Xueer Chen, Lujia Chen, Cornelius H L Kürten, Fattaneh Jabbari, Lazar Vujanovic, Ying Ding, Binfeng Lu, Kevin Lu, Aditi Kulkarni, Tracy Tabib, Robert Lafyatis, Gregory F Cooper, Robert Ferris, Xinghua Lu
An individualized causal framework for learning intercellular communication networks that define microenvironments of individual tumors. PLoS computational biology 18 (12) (2022)
Xueer Chen, Lujia Chen, Cornelius H L Kürten, Fattaneh Jabbari, Lazar Vujanovic, Ying Ding, Binfeng Lu, Kevin Lu, Aditi Kulkarni, Tracy Tabib, Robert Lafyatis, Gregory F Cooper, Robert Ferris, Xinghua Lu
An individualized causal framework for learning intercellular communication networks that define microenvironments of individual tumors. PLoS computational biology 18 (12) (2022)
Xueer Chen, Lujia Chen, Cornelius H L Kürten, Fattaneh Jabbari, Lazar Vujanovic, Ying Ding, Binfeng Lu, Kevin Lu, Aditi Kulkarni, Tracy Tabib, Robert Lafyatis, Gregory F Cooper, Robert Ferris, Xinghua Lu
An individualized causal framework for learning intercellular communication networks that define microenvironments of individual tumors. PLoS computational biology 18 (12) (2022)
Xueer Chen, Lujia Chen, Cornelius H L Kürten, Fattaneh Jabbari, Lazar Vujanovic, Ying Ding, Binfeng Lu, Kevin Lu, Aditi Kulkarni, Tracy Tabib, Robert Lafyatis, Gregory F Cooper, Robert Ferris, Xinghua Lu
An individualized causal framework for learning intercellular communication networks that define microenvironments of individual tumors. PLoS computational biology 18 (12) (2022)
M J Grubisha, X Sun, M L MacDonald, M Garver, Z Sun, K A Paris, D S Patel, R A DeGiosio, David A Lewis, N A Yates, C Camacho, Gregg E Homanics, Ying Ding, Robert A Sweet
MAP2 is differentially phosphorylated in schizophrenia, altering its function. Molecular psychiatry 26 (9) (2021)
Yue Wei, Xinjun Wang, Emily Y Chew, Ying Ding
Confident identification of subgroups from SNP testing in RCTs with binary outcomes. Biometrical journal. Biometrische Zeitschrift (2021)
Yue Wei, Jason C Hsu, Wei Chen, Emily Y Chew, Ying Ding
Identification and inference for subgroups with differential treatment efficacy from randomized controlled trials with survival outcomes through multiple testing. Statistics in medicine 40 (29) (2021)
Melanie J Grubisha, Tao Sun, Leanna Eisenman, Susan L Erickson, Shinnyi Chou, Cassandra D Helmer, Melody T Trudgen, Ying Ding, Gregg E Homanics, Peter Penzes, Zachary P Wills, Robert A Sweet
A Kalirin missense mutation enhances dendritic RhoA signaling and leads to regression of cortical dendritic arbors across development. Proceedings of the National Academy of Sciences of the United States of America 118 (49) (2021)
Tao Sun, Yue Wei, Wei Chen, Ying Ding
Genome-wide association study-based deep learning for survival prediction. Statistics in medicine 39 (30) (2020)
Yue Wei, Yi Liu, Tao Sun, Wei Chen, Ying Ding
Gene-based association analysis for bivariate time-to-event data through functional regression with copula models. Biometrics 76 (2) (2019)
Tao Sun, Yi Liu, Richard J Cook, Wei Chen, Ying Ding
Copula-based score test for bivariate time-to-event data, with application to a genetic study of AMD progression. Lifetime data analysis 25 (3) (2018)
Ying Ding, Shengchun Kong, Shan Kang, Wei Chen
A semiparametric imputation approach for regression with censored covariate with application to an AMD progression study. Statistics in medicine 37 (23) (2018)
Ying Ding, Yi Liu, Qi Yan, Lars G Fritsche, Richard J Cook, Traci Clemons, Rinki Ratnapriya, Michael L Klein, Gonçalo R Abecasis, Anand Swaroop, Emily Y Chew, Daniel E Weeks, Wei Chen, null null
Bivariate Analysis of Age-Related Macular Degeneration Progression Using Genetic Risk Scores. Genetics 206 (1) (2017)

Ying Ding.css-eqlu8i{font-size:small;padding-left:4px;} (Y Ding)

Publication Activity (10 Years)

Top Topics

Top Venues

Ying Ding (Y Ding)