ML

iCOMIC: a graphical interface-driven pipeline for cancer genome data analysis workflows

Devi Priyanka Maripuri Anjana Anilkumar S Keerthika Moorthy Philge Philip Likith Reddy Sai Sruthi Ganesh Karthik Raman

Robust discovery of causal gene networks via measurement error estimation and correction

Rahul Biswas Brintha V P Amol Dumrewal Manikandan Narayanan

Preterm birth risk in pregnant women - prediction using machine learning models

Himanshu Sinha Raghunathan Rengasamy Nikhita Damaraju Ashley Xavier Ramya Vijayram

Predicting Novel Metabolic Pathways through Subgraph Mining

Aravind Sankar Sayan Ranu Karthik Raman

Novel ratio-metric features enable the identification of new driver genes across cancer types

Journal: Scientific Reports

NetGenes: A Database of Essential Genes Predicted Using Features From Interaction Networks

Journal: Frontiers in Genetics

Sequence Neighborhoods Enable Reliable Prediction of Pathogenic Mutations in Cancer Genomes

Journal: Cancers

Machine Learning Applications for Mass Spectrometry-Based Metabolomics

Journal: Metabolites

Comparison of first trimester dating methods for gestational age estimation and their implication on preterm birth classification in a North Indian cohort.

Journal: medRxiv

Predicting Novel Metabolic Pathways through Subgraph Mining

Journal: Bioinformatics