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Raghvendra Mall | राघवेंद्र मल्ल
Raghvendra Mall | राघवेंद्र मल्ल
Computational Scientist at St. Jude Children's Research Hospital
stjude.org의 이메일 확인됨 - 홈페이지
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Unsupervised learning algorithms
ME Celebi, K Aydin
Springer International Publishing, 2016
1762016
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
167*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
1082018
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
1072018
Big data: Algorithms, analytics, and applications
KC Li, H Jiang, LT Yang, A Cuzzocrea
CRC Press, 2015
912015
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
862020
Kernel spectral clustering for big data networks
R Mall, R Langone, JAK Suykens
Entropy 15 (5), 1567-1586, 2013
802013
Very Sparse LSSVM Reductions for Large Scale Data
R Mall, JAK Suykens
IEEE Transactions of Neural Networks and Learning Systems, 2014
752014
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
652018
Multi-class semi-supervised learning based upon kernel spectral clustering
S Mehrkanoon, C Alzate, R Mall, R Langone, JAK Suykens
IEEE TNNLS, 2014
532014
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
392018
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
382020
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
382011
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
372018
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
362019
Soft kernel spectral clustering
R Langone, R Mall, JAK Suykens
Neural Networks (IJCNN), The 2013 International Joint Conference on, 1028-1035, 2013
362013
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
332013
Kernel Spectral Clustering and Applications
R Langne, R Mall, JAK Suykens
Unsupervised Learning Algorithms, 135-161, 2016
312016
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
302018
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
302013
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