A novel application of mixing coefficients for reverse-engineering gene interaction networks. - Nitin K. Singh; Mehmet Eren Ahsen; Shiva Mankala; M. Vidyasagar; Michael A. White (Allerton Conference, 2012)

A new feature selection algorithm for two-class classification problems and application to endometrial cancer. - Mehmet Eren Ahsen; Nitin K. Singh; Todd P. Boren; M. Vidyasagar; Michael A. White (CDC, 2012)

Inferring weighted and directed gene interaction networks from gene expression data using the phi-mixing coefficient. - Nitin K. Singh; Mehmet Eren Ahsen; Shiva Mankala; M. Vidyasagar; Michael A. White (GENSiPS, 2012)

A sparse Bayesian learning based approach to Inferring Gene Regulatory Networks. - Nitin K. Singh; Aishwarya Sundaresan; Mathukumalli Vidyasagar (GlobalSIP, 2013)

Inferring Gene Regulatory Networks with Sparse Bayesian Learning and phi-mixing coefficient. - Nitin K. Singh; M. Vidyasagar (ECC, 2014)

Optimized prediction of extreme treatment outcomes in ovarian cancer. - Burook Misganaw; Mehmet Eren Ahsen; Nitin K. Singh; Keith A. Baggerly; Anna Unruh; Michael A. White; Mathukumalli Vidyasagar (CDC, 2015)

Sparse Feature Selection for Classification and Prediction of Metastasis in Endometrial Cancer: Extended Abstract. - Mehmet Eren Ahsen; Todd P. Boren; Nitin K. Singh; Burook Misganaw; Jayanthi S. Lea; David S. Miller; Michael A. White; Mathukumalli Vidyasagar (BCB, 2016)

bLARS: An Algorithm to Infer Gene Regulatory Networks. - Nitin K. Singh; Mathukumalli Vidyasagar (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Inferring Genome-Wide Interaction Networks Using the Phi-Mixing Coefficient, and Applications to Lung and Breast Cancer. - Nitin K. Singh; Mehmet Eren Ahsen; Niharika Challapalli; Hyun-Seok Kim; Michael A. White; Mathukumalli Vidyasagar (IEEE Trans. Mol. Biol. Multi Scale Commun., 2018)

Robust state estimation via twisting observer. - Nitin K. Singh; Abhisek K. Behera (Autom., 2024)