Prognostic model

DeepMPS: Development and validation of a deep learning model for whole slide image base prognostic prediction of low grade Lung adenocarcinoma patients
Lung adenocarcinoma (LUAD) is one of the most common cancers, and patients’ prognostication is crucial for treatment decisions. …
Akshay Jagjampi, Seema Khadirnaikar, Prabhat S Malik, Deepali Jain, Naveen M B, Sudhanshu Shukla
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Development and validation of stemness associated LncRNA based prognostic model for lung adenocarcinoma patients

BACKGROUND: An increasing number of studies are indicating that the stemness phenotype is a critical determinant of the Lung …

Annesha Chatterjee, Seema Khadirnaikar, Sudhanshu Shukla
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Identification and Characterization of Senescence Phenotype in Lung Adenocarcinoma with High Drug Sensitivity
Lung adenocarcinoma (LUAD) is a major health problem and has poor prognosis. Heterogeneity is a central determinant of the treatment …
Seema Khadirnaikar, Annesha Chatterjee, Sudhanshu Shukla
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RNA-sequencing analysis pipeline for prognostic marker identification in cancer
Sequencing analysis finds many applications in various fields of biology from comparative genomics to clinical research. Recent …
Sudhanshu Shukla, Seema Khadirnaikar
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A greedy algorithm-based stem cell LncRNA signature identifies a novel subgroup of lung adenocarcinoma patients with poor prognosis
Cancer stem cells play an essential role in therapy response and aggressiveness of various cancers, including lung adenocarcinoma …
Seema Khadirnaikar, Annesha Chatterjee, Pranjal Kumar, Sudhanshu Shukla
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Immune associated LncRNAs identify novel prognostic subtypes of renal clear cell carcinoma
Kidney Renal Clear Cell Carcinoma (KIRC) is a significant cause of cancer-related deaths. Here, we aim to identify the LncRNAs …
Seema Khadirnaikar, Pranjal Kumar, Sathiya Pandi Narayanan, Rohit Mallik, Saravana M Dhanasekaran, Sudhanshu Shukla
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