Subha Madhavan

According to our database, Subha Madhavan authored at least 26 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of two.

2023

CIViCdb 2022: evolution of an open-access cancer variant interpretation knowledgebase.

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

Nucleic Acids Res., January, 2023

2022

A research agenda to support the development and implementation of genomics-based clinical informatics tools and resources.

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

J. Am. Medical Informatics Assoc., 2022

Exploring approaches for predictive cancer patient digital twins: Opportunities for collaboration and innovation.

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

Frontiers Digit. Health, 2022

2021

Recommendations for the safe, effective use of adaptive CDS in the US healthcare system: an AMIA position paper.

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

J. Am. Medical Informatics Assoc., 2021

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.

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

J. Am. Medical Informatics Assoc., 2021

2020

Identification of Patients with Immune-related Adverse Events from Clinical Notes using Machine Learning.

Samir Gupta, Anas Belouali, Neil J. Shah, Michael Atkins, Subha Madhavan

Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

Automated Identification of Patients with Immune-related Adverse Events from Clinical Notes using Machine Learning.

Samir Gupta, Anas Belouali, Neil J. Shah, Michael Atkins, Subha Madhavan

Proceedings of the AMIA 2020, 2020

Global research consortia and data harmonization projects drive the clinical interpretation of cancers.

Justin Guinney, Subha Madhavan, Melissa A. Haendel, Alex H. Wagner, Ratna R. Thangudu

Proceedings of the AMIA 2020, 2020

2019

SNP2SIM: a modular workflow for standardizing molecular simulation and functional analysis of protein variants.

Matthew McCoy, Vikram Shivakumar, Sridhar Nimmagadda, Mohsin Saleet Jafri, Subha Madhavan

BMC Bioinform., 2019

2018

POPSTR: Inference of Admixed Population Structure Based on Single-Nucleotide Polymorphisms and Copy Number Variations.

Jaeil Ahn, Brian Conkright, Simina M. Boca, Subha Madhavan

J. Comput. Biol., 2018

iTextMine: integrated text-mining system for large-scale knowledge extraction from the literature.

Jia Ren, Gang Li, Karen Ross, Cecilia N. Arighi, Peter B. McGarvey, Shruti Rao, Julie Cowart, Subha Madhavan, K. Vijay-Shanker, Cathy H. Wu

Database J. Biol. Databases Curation, 2018

ClinGen Cancer Somatic Working Group - Standardizing and democratizing access to cancer molecular diagnostic data to drive translational research.

Subha Madhavan, Deborah Ritter, Christine Micheel, Shruti Rao, Angshumoy Roy, Dmitriy Sonkin, Matthew McCoy, Malachi Griffith, Obi L. Griffith, Peter B. McGarvey, Shashikant Kulkarni

Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

2017

UD_GU_BioTM at TREC 2017: Precision Medicine Track.

A. S. M. Ashique Mahmood, Gang Li, Shruti Rao, Peter B. McGarvey, Cathy H. Wu, Subha Madhavan, K. Vijay-Shanker

Proceedings of The Twenty-Sixth Text REtrieval Conference, 2017

Tumor Neoantigens Derived from RNA Sequencing Analysis.

Shaojun Tang, Suthee Rapisuwon, Anton Wellstein, Subha Madhavan

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016

An informatics research agenda to support precision medicine: seven key areas.

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

J. Am. Medical Informatics Assoc., 2016

G-DOC <i>Plus</i> - an integrative bioinformatics platform for precision medicine.

Krithika Bhuvaneshwar, Anas Belouali, Varun Singh, Robert M. Johnson, Lei Song, Adil Alaoui, Michael Harris, Robert Clarke, Louis M. Weiner, Yuriy Gusev, Subha Madhavan

BMC Bioinform., 2016

Translational Bioinformatics 101.

Jessica D. Tenenbaum, Subha Madhavan, Robert R. Freimuth, Joshua C. Denny, Lewis J. Frey

Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

2014

AISAIC: a software suite for accurate identification of significant aberrations in cancers.

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

Bioinform., 2014

2013

The CAM software for nonnegative blind source separation in R-Java.

Niya Wang, Fan Meng, Li Chen, Subha Madhavan, Robert Clarke, Eric P. Hoffman, Jianhua Xuan, Yue Joseph Wang

J. Mach. Learn. Res., 2013

SNP2Structure: A public database for mapping and modeling nsSNPs on human protein structures.

Difei Wang, Kevin Rosso, Shruti Rao, Lei Song, Varun Singh, Shailendra Singh, Michael Harris, Subha Madhavan

Proceedings of the ACM Conference on Bioinformatics, 2013

In silico analysis of autoimmune diseases and genetic relationships to vaccination against infectious diseases.

Peter B. McGarvey, Baris E. Suzek, Shruti Rao, Subha Madhavan, James N. Baraniuk, Samir Lababidi, Andrea Sutherland, Richard Forshee

Proceedings of the ACM Conference on Bioinformatics, 2013

An integrated pharmacogenomic analysis of doxorubicin response using genotype information on DMET genes.

Krithika Bhuvaneshwar, Michael Harris, Thanemozhi Natarajan, Laura Sheahan, Difei Wang, Subha Madhavan, Mahlet G. Tadesse, John Deeken

Proceedings of the ACM Conference on Bioinformatics, 2013

2012

Informatics and data quality at collaborative multicenter Breast and Colon Cancer Family Registries.

Peter B. McGarvey, Sweta Ladwa, Mauricio Oberti, Anca Dana Dragomir, Erin K. Hedlund, David M. Tanenbaum, Baris E. Suzek, Subha Madhavan

J. Am. Medical Informatics Assoc., 2012

Accurate identification of significant aberrations in contaminated cancer genome.

Xuchu Hou, Guoqiang Yu, Xiguo Yuan, Bai Zhang, Ie-Ming Shih, Zhen Zhang, Robert Clarke, Subha Madhavan

Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012

2011

DDN: a caBIG^® analytical tool for differential network analysis.

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

Bioinform., 2011

PUGSVM: a caBIG^TM analytical tool for multiclass gene selection and predictive classification.

Guoqiang Yu, Huai Li, Sook S. Ha, Ie-Ming Shih, Robert Clarke, Eric P. Hoffman, Subha Madhavan, Jianhua Xuan, Yue Joseph Wang

Bioinform., 2011