TY - GEN
T1 - Identification of Potential Biomarkers Using Integrative Approach
T2 - 9th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2021
AU - Saikia, Manaswita
AU - Bhattacharyya, Dhruba K.
AU - Kalita, Jugal K.
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - This paper presents a consensus-based approach that incorporates three microarray and three RNA-Seq methods for an unbiased and integrative identification of Differentially Expressed Genes (DEGs) as potential biomarkers for critical disease(s). The proposed method has been found to perform satisfactorily on two microarrays and one RNA-Seq datasets for Esophageal Squamous Cell Carcinoma (ESCC). It has been able to identify 9 crucial genes for ESCC.
AB - This paper presents a consensus-based approach that incorporates three microarray and three RNA-Seq methods for an unbiased and integrative identification of Differentially Expressed Genes (DEGs) as potential biomarkers for critical disease(s). The proposed method has been found to perform satisfactorily on two microarrays and one RNA-Seq datasets for Esophageal Squamous Cell Carcinoma (ESCC). It has been able to identify 9 crucial genes for ESCC.
UR - https://www.scopus.com/pages/publications/85200661002
UR - https://www.scopus.com/pages/publications/85200661002#tab=citedBy
U2 - 10.1007/978-3-031-12700-7_13
DO - 10.1007/978-3-031-12700-7_13
M3 - Conference contribution
AN - SCOPUS:85200661002
SN - 9783031126994
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 118
EP - 126
BT - Pattern Recognition and Machine Intelligence - 9th International Conference, PReMI 2021, Proceedings
A2 - Ghosh, Ashish
A2 - Bhattacharyya, Malay
A2 - Sankar Ray, Shubhra
A2 - K. Pal, Sankar
A2 - King, Irwin
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 15 December 2021 through 18 December 2021
ER -