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2020 – today
- 2023
[j15]Kilannin Krysiak
, Arpad M. Danos, Jason Saliba, Joshua F. McMichael, Adam C. Coffman, Susanna Kiwala, Erica K. Barnell, Lana Sheta, Cameron J. Grisdale, Lynzey Kujan, Shahil Pema, Jake Lever, Sarah Ridd, Nicholas C. Spies, Veronica Andric, Andreea Chiorean, Damian Tobias Rieke, Kaitlin A. Clark, Caralyn Reisle, Ajay C. Venigalla, Mark Evans, Payal Jani, Hideaki Takahashi, Avila Suda, Peter Horák, Deborah i Ritter, Xin Zhou, Benjamin J. Ainscough, Sean Delong, Chimene Kesserwan, Mario Lamping, Haolin Shen, Alex Marr, My Hoang, Kartik Singhal, Mariam Khanfar, Brian V. Li, Wan-Hsin Lin, Panieh Terraf, Laura B. Corson, Yasser Salama, Katie M. Campbell, Kirsten M. Farncombe, Jianling Ji, Xiaonan Zhao, Xinjie Xu, Rashmi Kanagal-Shamanna, Ian King, Kelsy C. Cotto, Zachary L. Skidmore, Jason R. Walker, Jinghui Zhang, Aleksandar Milosavljevic, Ronak Y. Patel, Rachel H. Giles, Raymond H. Kim, Lynn M. Schriml, Elaine R. Mardis, Steven J. M. Jones, Gordana Raca, Shruti Rao, Subha Madhavan, Alex H. Wagner, Malachi Griffith, Obi L. Griffith:
CIViCdb 2022: evolution of an open-access cancer variant interpretation knowledgebase. Nucleic Acids Res. 51(D1): 1230-1241 (2023)- 2022
- [j14]Eric A. Stahlberg, Mohamed Abdel-Rahman, Boris Aguilar, Alireza Asadpoure, Robert A. Beckman, Lynn L. Borkon, Jeffrey N. Bryan, Colleen M. Cebulla, Young Hwan Chang, Ansu Chatterjee, Jun Deng, Sepideh Dolatshahi, Olivier Gevaert, Emily J. Greenspan, Wenrui Hao, Tina Hernandez-Boussard, Pamela R. Jackson, Marieke L. Kuijjer, Adrian Lee, Paul Macklin, Subha Madhavan, Matthew D. McCoy, Navid Mohammad Mirzaei, Talayeh Razzaghi, Heber L. Rocha, Leili Shahriyari, Ilya Shmulevich, Daniel G. Stover, Yi Sun, Tanveer F. Syeda-Mahmood, Jinhua Wang, Qi Wang, Ioannis K. Zervantonakis:
Exploring approaches for predictive cancer patient digital twins: Opportunities for collaboration and innovation. Frontiers Digit. Health 4 (2022) - [j13]Ken Wiley, Laura Findley, Madison Goldrich, Tejinder K. Rakhra-Burris, Ana Stevens, Pamela Williams, Carol J. Bult, Rex L. Chisholm, Patricia Deverka, Geoffrey S. Ginsburg, Eric D. Green, Gail P. Jarvik, George A. Mensah, Erin Ramos, Mary V. Relling, Dan M. Roden, Robb Rowley, Gil Alterovitz, Samuel J. Aronson, Lisa Bastarache, James J. Cimino, Erin L. Crowgey, Guilherme Del Fiol, Robert R. Freimuth, Mark A. Hoffman, Janina M. Jeff, Kevin B. Johnson, Kensaku Kawamoto, Subha Madhavan, Eneida A. Mendonça, Lucila Ohno-Machado, Siddharth Pratap, Casey Overby Taylor, Marylyn D. Ritchie, Nephi Walton, Chunhua Weng, Teresa Zayas-Cabán, Teri A. Manolio, Marc S. Williams:
A research agenda to support the development and implementation of genomics-based clinical informatics tools and resources. J. Am. Medical Informatics Assoc. 29(8): 1342-1349 (2022) - 2021
- [j12]Subha Madhavan, Lisa Bastarache, Jeffrey S. Brown, Atul J. Butte, David A. Dorr, Peter J. Embí, Charles P. Friedman, Kevin B. Johnson, Jason H. Moore, Isaac S. Kohane, Philip R. O. Payne, Jessica D. Tenenbaum, Mark G. Weiner, Adam B. Wilcox, Lucila Ohno-Machado:
Use of electronic health records to support a public health response to the COVID-19 pandemic in the United States: a perspective from 15 academic medical centers. J. Am. Medical Informatics Assoc. 28(2): 393-401 (2021) - [j11]Carolyn Petersen, Jeffery Smith, Robert R. Freimuth, Kenneth W. Goodman, Gretchen Purcell Jackson, Joseph L. Kannry, Hongfang Liu, Subha Madhavan, Dean F. Sittig, Adam Wright:
Recommendations for the safe, effective use of adaptive CDS in the US healthcare system: an AMIA position paper. J. Am. Medical Informatics Assoc. 28(4): 677-684 (2021) - 2020
- [c11]Justin Guinney, Subha Madhavan, Melissa A. Haendel, Alex H. Wagner, Ratna R. Thangudu:
Global research consortia and data harmonization projects drive the clinical interpretation of cancers. AMIA 2020 - [c10]Samir Gupta, Anas Belouali, Neil J. Shah, Michael Atkins, Subha Madhavan:
Automated Identification of Patients with Immune-related Adverse Events from Clinical Notes using Machine Learning. AMIA 2020 - [c9]Samir Gupta, Anas Belouali, Neil J. Shah, Michael Atkins, Subha Madhavan:
Identification of Patients with Immune-related Adverse Events from Clinical Notes using Machine Learning. ICHI 2020: 1-2
2010 – 2019
- 2019
- [j10]Matthew McCoy, Vikram Shivakumar, Sridhar Nimmagadda, Mohsin Saleet Jafri, Subha Madhavan:
SNP2SIM: a modular workflow for standardizing molecular simulation and functional analysis of protein variants. BMC Bioinform. 20(1): 171:1-171:8 (2019) - 2018
- [j9]Jia Ren, Gang Li, Karen Ross, Cecilia N. Arighi, Peter B. McGarvey, Shruti Rao, Julie Cowart, Subha Madhavan, K. Vijay-Shanker, Cathy H. Wu:
iTextMine: integrated text-mining system for large-scale knowledge extraction from the literature. Database J. Biol. Databases Curation 2018: bay128 (2018) - [j8]Jaeil Ahn, Brian Conkright, Simina M. Boca, Subha Madhavan:
POPSTR: Inference of Admixed Population Structure Based on Single-Nucleotide Polymorphisms and Copy Number Variations. J. Comput. Biol. 25(4): 417-429 (2018) - [c8]Subha Madhavan, Deborah Ritter, Christine Micheel, Shruti Rao, Angshumoy Roy, Dmitriy Sonkin, Matthew McCoy, Malachi Griffith, Obi L. Griffith, Peter B. McGarvey, Shashikant Kulkarni:
ClinGen Cancer Somatic Working Group - Standardizing and democratizing access to cancer molecular diagnostic data to drive translational research. PSB 2018: 247-258 - 2017
- [c7]Shaojun Tang, Suthee Rapisuwon, Anton Wellstein, Subha Madhavan:
Tumor Neoantigens Derived from RNA Sequencing Analysis. BCB 2017: 601 - [c6]A. S. M. Ashique Mahmood, Gang Li, Shruti Rao, Peter B. McGarvey, Cathy H. Wu, Subha Madhavan, K. Vijay-Shanker:
UD_GU_BioTM at TREC 2017: Precision Medicine Track. TREC 2017 - 2016
- [j7]Krithika Bhuvaneshwar, Anas Belouali, Varun Singh, Robert M. Johnson, Lei Song, Adil Alaoui, Michael Harris, Robert Clarke, Louis M. Weiner, Yuriy Gusev, Subha Madhavan:
G-DOC Plus - an integrative bioinformatics platform for precision medicine. BMC Bioinform. 17: 193 (2016) - [j6]Jessica D. Tenenbaum, Paul Avillach, Marge M. Benham-Hutchins, Matthew K. Breitenstein, Erin L. Crowgey, Mark A. Hoffman, Xia Jiang, Subha Madhavan, John E. Mattison, Radhakrishnan Nagarajan, Bisakha Ray, Dmitriy Shin, Shyam Visweswaran, Zhongming Zhao, Robert R. Freimuth:
An informatics research agenda to support precision medicine: seven key areas. J. Am. Medical Informatics Assoc. 23(4): 791-795 (2016) - [c5]Jessica D. Tenenbaum, Subha Madhavan, Robert R. Freimuth, Joshua C. Denny, Lewis J. Frey:
Translational Bioinformatics 101. PSB 2016: 552-556 - 2014
- [j5]Bai Zhang, Xuchu Hou, Xiguo Yuan, Ie-Ming Shih, Zhen Zhang, Robert Clarke, Roger R. Wang, Yi Fu, Subha Madhavan, Yue Joseph Wang, Guoqiang Yu:
AISAIC: a software suite for accurate identification of significant aberrations in cancers. Bioinform. 30(3): 431-433 (2014) - 2013
- [j4]Niya Wang, Fan Meng, Li Chen, Subha Madhavan, Robert Clarke, Eric P. Hoffman, Jianhua Xuan, Yue Joseph Wang:
The CAM software for nonnegative blind source separation in R-Java. J. Mach. Learn. Res. 14(1): 2899-2903 (2013) - [c4]Peter B. McGarvey, Baris E. Suzek, Shruti Rao, Subha Madhavan, James N. Baraniuk, Samir Lababidi, Andrea Sutherland, Richard Forshee:
In silico analysis of autoimmune diseases and genetic relationships to vaccination against infectious diseases. BCB 2013: 650 - [c3]Difei Wang, Kevin Rosso, Shruti Rao, Lei Song, Varun Singh, Shailendra Singh, Michael Harris, Subha Madhavan:
SNP2Structure: A public database for mapping and modeling nsSNPs on human protein structures. BCB 2013: 655 - [c2]Krithika Bhuvaneshwar, Michael Harris, Thanemozhi Natarajan, Laura Sheahan, Difei Wang, Subha Madhavan, Mahlet G. Tadesse, John Deeken:
An integrated pharmacogenomic analysis of doxorubicin response using genotype information on DMET genes. BCB 2013: 657 - 2012
- [j3]Peter B. McGarvey, Sweta Ladwa, Mauricio Oberti, Anca Dana Dragomir, Erin K. Hedlund, David M. Tanenbaum, Baris E. Suzek, Subha Madhavan:
Informatics and data quality at collaborative multicenter Breast and Colon Cancer Family Registries. J. Am. Medical Informatics Assoc. 19(e1) (2012) - [c1]Xuchu Hou, Guoqiang Yu, Xiguo Yuan, Bai Zhang, Ie-Ming Shih, Zhen Zhang, Robert Clarke, Subha Madhavan:
Accurate identification of significant aberrations in contaminated cancer genome. GENSiPS 2012: 74-77 - 2011
- [j2]Guoqiang Yu, Huai Li, Sook S. Ha, Ie-Ming Shih, Robert Clarke, Eric P. Hoffman, Subha Madhavan, Jianhua Xuan, Yue Joseph Wang:
PUGSVM: a caBIGTM analytical tool for multiclass gene selection and predictive classification. Bioinform. 27(5): 736-738 (2011) - [j1]Bai Zhang, Ye Tian, Lu Jin, Huai Li, Ie-Ming Shih, Subha Madhavan, Robert Clarke, Eric P. Hoffman, Jianhua Xuan, Leena Hilakivi-Clarke, Yue Joseph Wang:
DDN: a caBIG® analytical tool for differential network analysis. Bioinform. 27(7): 1036-1038 (2011)
Coauthor Index
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