Raghvendra Mall | राघवेंद्र मल्ल

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Johan SuykensProfessor, KU LeuvenVerified email at esat.kuleuven.be
Halima BensmailPrincipal Scientist @ Qatar Computing Research InstituteVerified email at hbku.edu.qa
Michele CeccarelliUniversity of Naples "Federico II"Verified email at unina.it
Gwo-Yu ChuangVaccine Research Center, NIAID/NIHVerified email at nih.gov
Fedwa El-MellouhiSenior Scientist, Qatar Environment and Energy Research InstituteVerified email at hbku.edu.qa
Mohamad saadScientist, Qatar Computing Research Institute, Hamad Bin Khalifa University, Qatar.Verified email at uw.edu
Davide BedognettiSidra Medical and Research CenterVerified email at sidra.org
Prasanna R KolatkarQatar Biomedical Research InstituteVerified email at hbku.edu.qa
Luis Fernandez-Luque, PhDAdhera Health Inc - a Precision Digital Therapeutics CompanyVerified email at adherahealth.com
Daniel MarbachRoche Pharma Research and Early Development, Basel, SwitzerlandVerified email at roche.com
Lance David MillerAssociate professor of Cancer Biology, Wake Forest School of MedicineVerified email at wakehealth.edu
karima mokhtariVerified email at aphp.fr
John mascolaNational Institutes of HealthVerified email at mail.nih.gov
AB Abou-SamraHamad Medical Corporation - Qatar, Weill Cornell Medicine - QatarVerified email at hamad.qa
Bernard J. (Jim) JansenQatar Computing Research Institute, HBKUVerified email at acm.org
sanjay chawlaQatar Computing Research Institute, HBKUVerified email at sydney.edu.au
Marco OrecchioniLa Jolla Institute for Allergy and ImmunologyVerified email at lji.org
Peter SzolovitsProfessor of Computer Science and Engineering, MITVerified email at mit.edu
Richard ThompsonResearch director, INRA UMR Agroecology, DijonVerified email at inra.fr

Raghvendra Mall | राघवेंद्र मल्ल

Computational Scientist at St. Jude Children's Research Hospital

Verified email at stjude.org - Homepage

Applied Machine Learning Computational ∈ [Biology Innate Immunity]Complex Networks


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Assessment of network module identification across complex diseases S Choobdar, ME Ahsen, J Crawford, M Tomasoni, T Fang, D Lamparter, ... Nature methods 16 (9), 843-852, 2019	157*	2019
Unsupervised learning algorithms ME Celebi, K Aydin Springer International Publishing, 2016	147	2016
A metabolic function of FGFR3-TACC3 gene fusions in cancer V Frattini, SM Pagnotta, JJ Fan, MV Russo, SB Lee, L Garofano, J Zhang, ... Nature 553 (7687), 222-227, 2018	98	2018
DeepSol: A Deep Learning Framework for Sequence-Based Protein Solubility Prediction S Khurana, R Rawi, K Kunji, GY Chuang, H Bensmail, R Mall Bioinformatics, 2018	97	2018
Big data: Algorithms, analytics, and applications KC Li, H Jiang, LT Yang, A Cuzzocrea CRC Press, 2015	89	2015
Kernel spectral clustering for big data networks R Mall, R Langone, JAK Suykens Entropy 15 (5), 1567-1586, 2013	80	2013
The future of sleep health: a data-driven revolution in sleep science and medicine I Perez-Pozuelo, B Zhai, J Palotti, R Mall, M Aupetit, JM Garcia-Gomez, ... NPJ digital medicine 3 (1), 1-15, 2020	78	2020
Very Sparse LSSVM Reductions for Large Scale Data R Mall, JAK Suykens IEEE Transactions of Neural Networks and Learning Systems, 2014	72	2014
PaRSnIP: sequence-based protein solubility prediction using gradient boosting machine R Rawi, R Mall, K Kunji, CH Shen, PD Kwong, GY Chuang Bioinformatics 34 (7), 1092-1098, 2018	63	2018
Multi-class semi-supervised learning based upon kernel spectral clustering S Mehrkanoon, C Alzate, R Mall, R Langone, JAK Suykens IEEE TNNLS, 2014	52	2014
Variations to incremental growing neural gas algorithm based on label maximization JC Lamirel, R Mall, P Cuxac, G Safi The 2011 International Joint Conference on Neural Networks, 956-965, 2011	39	2011
Soft kernel spectral clustering R Langone, R Mall, JAK Suykens Neural Networks (IJCNN), The 2013 International Joint Conference on, 1028-1035, 2013	37	2013
Exploring New Approaches towards the Formability of Mixed-Ion Perovskite by DFT and Machine Learning H Park, R Mall, FH Alharbi, S Sanvito, N Tabet, H Bensmail, F El-Mellouhi Physical Chemistry Chemical Physics, 2018	36	2018
RGBM: regularized gradient boosting machines for identification of the transcriptional regulators of discrete glioma subtypes R Mall, L Cerulo, L Garofano, V Frattini, K Kunji, H Bensmail, TS Sabedot, ... Nucleic acids research 46 (7), e39-e39, 2018	36	2018
Self-Tuned Kernel Spectral Clustering for Large Scale Networks R Mall, K Arenberg, R Langone, JAK Suykens Proc. of the IEEE Confence on Big Data, 2013	35	2013
Benchmark on a large cohort for sleep-wake classification with machine learning techniques J Palotti, R Mall, M Aupetit, M Rueschman, M Singh, A Sathyanarayana, ... NPJ digital medicine 2 (1), 1-9, 2019	34	2019
Oncogenic states dictate the prognostic and predictive connotations of intratumoral immune response J Roelands, W Hendrickx, G Zoppoli, R Mall, M Saad, K Halliwill, ... Journal for immunotherapy of cancer 8 (1), 2020	33	2020
FURS: Fast and Unique Representative Subset selection retaining large-scale community structure R Mall, R Langone, JAK Suykens Social Network Analysis and Mining 3 (4), 1075-1095, 2013	32	2013
DeepCrystal: A Deep Learning Framework for Sequence-based Protein Crystallization Prediction A Elbasir, B Moovarkumudalvan, K Kunji, PR Kolatkar, H Bensmail, R Mall Bioinformatics, 2018	29	2018
Kernel Spectral Clustering and Applications R Langne, R Mall, JAK Suykens Unsupervised Learning Algorithms, 135-161, 2016	28	2016

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