Mukesh Bansal

发表

Piecewise affine approach to inferring cell cycle regulatory network in fission yeast

Francesco Amato, Diego di Bernardo, Carlo Cosentino, 2007, Biomed. Signal Process. Control..

Supporting User Query Relaxation in a Recommender System

Francesco Ricci, Mukesh Bansal, Nader Mirzadeh, 2004, EC-Web.

Exploration of uncertainties and risk metrics for Aerospace and Defence Sector of Developing Countries and further studying the Interrelationship amongst various risk factors using ISM Methodology

Remica Aggarwal, Mukesh Bansal, 2019 .

Correction: Inferring Protein Modulation from Gene Expression Data Using Conditional Mutual Information

Andrea Califano, Mukesh Bansal, Federico M. Giorgi, 2016, PloS one.

A community computational challenge to predict the activity of pairs of compounds Citation

Yang Xie, Guanghua Xiao, Julio Saez-Rodriguez, 2015 .

Feature selection methods for conversational recommender systems

Francesco Ricci, Mukesh Bansal, Nader Mirzadeh, 2005, 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service.

DREAMTools: a Python package for scoring collaborative challenges

Erhan Bilal, Pablo Meyer, Raquel Norel, 2015, F1000Research.

A reverse-engineering approach to dissect post-translational modulators of transcription factor’s activity from transcriptional data

Neil D. Lawrence, Diego di Bernardo, Gennaro Gambardella, 2015, BMC Bioinformatics.

DREAMTools: a Python package for scoring collaborative challenges

Erhan Bilal, Pablo Meyer, Raquel Norel, 2015, F1000Research.

Mass Conservation and Inference of Metabolic Networks from High-Throughput Mass Spectrometry Data

Ilya Nemenman, Mukesh Bansal, Pradeep Bandaru, 2011, J. Comput. Biol..

Inference of gene regulatory networks and compound mode of action from time course gene expression profiles

Diego di Bernardo, Mukesh Bansal, G. D. Gatta, 2006, Bioinform..

Genome-wide dissection of posttranscriptional and posttranslational interactions.

Andrea Califano, Mukesh Bansal, A. Califano, 2012, Methods in molecular biology.

Computational framework for the prediction of transcription factor binding sites by multiple data integration

Pietro Liò, Diego di Bernardo, Mukesh Bansal, 2006, BMC Neuroscience.

An Extensive MicroRNA-Mediated Network of RNA-RNA Interactions Regulates Established Oncogenic Pathways in Glioblastoma

Xuerui Yang, Andrea Califano, Pavel Sumazin, 2011, Cell.

Identification of regulatory pathways of the cell cycle in fission yeast

Francesco Amato, Diego di Bernardo, Carlo Cosentino, 2006 .

Reverse engineering of TLX oncogenic transcriptional networks identifies RUNX1 as tumor suppressor in T-ALL

Andrea Califano, Mukesh Bansal, Teresa Palomero, 2011, Nature Medicine.

The transcriptional regulatory network of proneural glioma determines the genetic alterations selected during tumor progression.

Andrea Califano, Peter Canoll, Mukesh Bansal, 2014, Cancer research.

How to infer gene networks from expression profiles

Diego di Bernardo, Vincenzo Belcastro, Mukesh Bansal, 2007, Molecular Systems Biology.

A Molecular Signature Predictive of Indolent Prostate Cancer

Andrea Califano, Pavel Sumazin, Mukesh Bansal, 2013, Science Translational Medicine.

ZFHX4 interacts with the NuRD core member CHD4 and regulates the glioblastoma tumor-initiating cell state.

Anne E Carpenter, Mark-Anthony Bray, Andrea Califano, 2014, Cell reports.

Inferring Protein Modulation from Gene Expression Data Using Conditional Mutual Information

Andrea Califano, Mukesh Bansal, Federico M. Giorgi, 2014, PloS one.

Elucidation and Pharmacological Targeting of Novel Molecular Drivers of Follicular Lymphoma Progression.

Andrea Califano, Mukesh Bansal, Brygida Bisikirska, 2016, Cancer research.

Bioinformatics Original Paper Inference of Gene Regulatory Networks and Compound Mode of Action from Time Course Gene Expression Profiles

Diego di Bernardo, Mukesh Bansal, G. D. Gatta, 2022 .

The number of titrated microRNA species dictates ceRNA regulation

Xuerui Yang, Andrea Califano, Evan O. Paull, 2018, Nucleic acids research.

High-throughput validation of ceRNA regulatory networks

Xuerui Yang, Todd R. Golub, Aravind Subramanian, 2017, BMC Genomics.