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Last Updated: Aug 2024

 

Ranadip Pal

Professor, Electrical and Computer Engineering; Texas Tech University
Office: Room 212
Address: Box 43012, Lubbock, TX, 79409-3102
Phone: (806)-834-8631
Fax: (806)-742-1245
Email: ranadip.pal@ttu.edu
Web: http://www.myweb.ttu.edu/rpal/

  

2024:  Our work on Topological regression as an interpretable and efficient tool for quantitative structure-activity relationship modeling published in Nature Communications 

2024:  Congratulations to Daniel Nolte and Sayani Ghosh on their Dissertation Defense!

2023: Congratulations to Ruibo Zhang and Kamrul Foysal  on their Dissertation Defense!  

2022:  We are now part of NCI-DOE collaborative project on Innovative Methodologies and New Data for Predictive Oncology Model Evaluation (IMPROVE)

March 2021: Congratulations to Omid Bazgir and Saugato Rahman Dhruba  on their Dissertation Defense!  

Sep 2020:  Our work on "Representation of features as images with neighborhood dependencies for compatibility with convolutional neural networks”, published in  Nature Communications https://rdcu.be/cie9w

Aug 2020: New NSF grant  on Machine Learning Models for Function-on-Function Regression

Aug 2019:  Congratulations to Raziur Rahman on his PhD graduation

Dec 2018: Congratulations to Kevin Matlock on his PhD graduation

May 2018: Congratulations to Carlos De-Niz on his PhD graduation 

Aug 2016: New NIH R01 Awarded for our research on "Functional regression framework with applications to drug response prediction"

Aug 2016: Upcoming book Ranadip Pal (2016), Predictive Modeling of Drug Senstivity, Academic Press, Pre-order

June 2016: Edited book by I. Ivanov, X. Qian, R. Pal (2016) "Emerging Research in the Analysis and Modeling of Gene Regulatory Networks" published

Sep 2015: News article on our work in Nature Medicine

Aug 2015: Congratulations to Noah and Saad on their graduation! Noah is now part of Children’s Cancer Therapy Institute and Saad is now postdoctoral fellow at Hamner Institutes for Health Sciences.  

June 2015: News article on our computational modeling for cancer applied to DIPG .

Original article published in Nature Medicine.


Download: GUI Software for generation of Probabilistic Target Inhibition Maps from targeted drug perturbation data based on  BMC Bioinformatics 14:239, 2013 and PMID 22174290          
User Guide            

BMC BMC Genomics supplement for GENSIPS'11 Published

IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)  2013    Journal of Biological Systems Special Issue on Genomic Signal Processing
gensips2012Call for Papers
        
JBS