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Chakresh Kumar Jain
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2020 – today
- 2022
- [j5]Vishalkumar Vekariya, Kalpdrum Passi, Chakresh Kumar Jain:
Predicting liver cancer on epigenomics data using machine learning. Frontiers Bioinform. 2 (2022) - [j4]Amarjeet Prajapati, Anshu Parashar, Sunita, Jitender Kumar Chhabra, Chakresh Kumar Jain:
Multimedia in search-based software engineering: challenges and opportunities within a new research domain. Multim. Tools Appl. 81(25): 35671-35691 (2022) - 2021
- [c9]Payal Patel, Kalpdrum Passi, Chakresh Kumar Jain:
Improving Gene Expression Prediction of Cancer Data Using Nature Inspired Optimization Algorithms. CSCI 2021: 337-343 - 2020
- [j3]Ruihua Guo, Kalpdrum Passi, Chakresh Kumar Jain:
Tuberculosis Diagnostics and Localization in Chest X-Rays via Deep Learning Models. Frontiers Artif. Intell. 3: 583427 (2020) - [c8]Nakul Patel, Kalpdrum Passi, Chakresh Kumar Jain:
Improving Prediction Accuracy of Microarray Cancer Data with Non-negative Matrix Factorization and Its Variant. BIBM 2020: 2227-2234 - [i1]Parth Patel, Kalpdrum Passi, Chakresh Kumar Jain:
Prediction of Cancer Microarray and DNA Methylation Data using Non-negative Matrix Factorization. CoRR abs/2007.08652 (2020)
2010 – 2019
- 2018
- [c7]Ojasvi Yadav, Kalpdrum Passi, Chakresh Kumar Jain:
Using Deep Learning to Classify X-ray Images of Potential Tuberculosis Patients. BIBM 2018: 2368-2375 - 2017
- [c6]Kalpdrum Passi, Abdala Nour, Chakresh Kumar Jain:
Markov blanket: Efficient strategy for feature subset selection method for high dimensional microarray cancer datasets. BIBM 2017: 1864-1871 - 2016
- [j2]Money Gupta, Rashi Chauhan, Yamuna Prasad, Gulshan Wadhwa, Chakresh Kumar Jain:
Protein-protein interaction and molecular dynamics analysis for identification of novel inhibitors in Burkholderia cepacia GG4. Comput. Biol. Chem. 65: 80-90 (2016) - [c5]Jing Sun, Kalpdrum Passi, Chakresh Kumar Jain:
Improved microarray data analysis using feature selection methods with machine learning methods. BIBM 2016: 1527-1534 - 2015
- [c4]Yamuna Prasad, Kanad K. Biswas, Madasu Hanmandlu, Chakresh Kumar Jain:
Variance Based Particle Swarm Optimization for Function Optimization and Feature Selection. SEMCCO 2015: 104-115 - 2013
- [j1]Chakresh Kumar Jain, Ankita Dasgupta, Naina Taneja, Sonal Chaubey, Reema Gabrani, Sanjeev Kumar Sharma, Sanjay Gupta:
Putative drug targets in Rhizopus oryzae: in-silico insight. Int. J. Bioinform. Res. Appl. 9(6): 595-603 (2013) - 2010
- [c3]Chakresh Kumar Jain, Yamuna Prasad:
Modeling for Evaluation of Significant Features in siRNA Design. IC3 (1) 2010: 559-567 - [c2]Yamuna Prasad, Kanad K. Biswas, Chakresh Kumar Jain:
SVM Classifier Based Feature Selection Using GA, ACO and PSO for siRNA Design. ICSI (2) 2010: 307-314
2000 – 2009
- 2009
- [c1]Chakresh Kumar Jain, Yamuna Prasad:
Feature Selection for siRNA Efficacy Prediction using Natural Computation. NaBIC 2009: 1759-1764
Coauthor Index
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