Raghvendra Mall

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i10-index	44	38

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Johan SuykensProfessor, KU LeuvenVerified email at esat.kuleuven.be
Halima BensmailPrincipal Scientist, QCRI and Joint professor, Texas A and M at QatarVerified 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
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 - https://www.linkedin.com/company/adhera-health-inc/Verified email at adherahealth.com
Daniel MarbachRoche Pharma Research and Early Development, Basel, SwitzerlandVerified email at roche.com
Abdul Badi Abou-SamraHamad Medical Corporation - Qatar, Weill Cornell Medicine - QatarVerified email at hamad.qa
karima mokhtariVerified email at aphp.fr
Lance David MillerAssociate professor of Cancer Biology, Wake Forest School of MedicineVerified email at wakehealth.edu
sanjay chawlaQatar Computing Research Institute, HBKUVerified email at sydney.edu.au
Thirumala-Devi KannegantiSt. Jude Children's Research HospitalVerified email at stjude.org
John mascolaNational Institutes of HealthVerified email at mail.nih.gov
Tae-Wook ChunNational Institutes of HealthVerified email at niaid.nih.gov
Bernard J. (Jim) JansenQatar Computing Research Institute, HBKUVerified email at acm.org
Peter VogelComparative Pathology Core Laboratory, St Jude Children's Research HospitalVerified email at stjude.org
RK Subbarao MalireddiSt.Jude Childrens Research HospitalVerified email at stjude.org
Colleen B. JonssonProfessor of Microbiology, University of TennesseeVerified email at utk.edu

Raghvendra Mall

Computational Scientist at St. Jude Children's Research Hospital

Verified email at stjude.org - Homepage

Applied ML Computational ∈ [Biology Immunology]Complex Networks


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Unsupervised learning algorithms ME Celebi, K Aydin Springer 9, 103, 2016	229	2016
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	208*	2019
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	125	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	122	2018
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), 42, 2020	118	2020
Big data: Algorithms, analytics, and applications KC Li, H Jiang, LT Yang, A Cuzzocrea CRC Press, 2015	98	2015
Very Sparse LSSVM Reductions for Large Scale Data R Mall, JAK Suykens IEEE Transactions of Neural Networks and Learning Systems, 2014	83	2014
Kernel spectral clustering for big data networks R Mall, R Langone, JAK Suykens Entropy 15 (5), 1567-1586, 2013	82	2013
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	72	2018
Fasting-Mimicking Diet Is Safe and Reshapes Metabolism and Antitumor Immunity in Patients with Cancer C Vernieri, G Fuca, F Ligorio, V Huber, A Vingiani, F Iannelli, A Raimondi, ... Cancer Discovery 12 (1), 90-107, 2022	58*	2022
Multi-class semi-supervised learning based upon kernel spectral clustering S Mehrkanoon, C Alzate, R Mall, R Langone, JAK Suykens IEEE TNNLS, 2014	58	2014
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	50	2020
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), 50, 2019	47	2019
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	47	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	41	2018
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	40	2011
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	37	2018
Soft kernel spectral clustering R Langone, R Mall, JAK Suykens Neural Networks (IJCNN), The 2013 International Joint Conference on, 1028-1035, 2013	37	2013
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
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	34	2013

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