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Abhimanyu Banerjee
Abhimanyu Banerjee
Illumina Artificial Intelligence Laboratory
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
The Kipoi repository accelerates community exchange and reuse of predictive models for genomics
Ž Avsec, R Kreuzhuber, J Israeli, N Xu, J Cheng, A Shrikumar, A Banerjee, ...
Nature biotechnology 37 (6), 592-600, 2019
1512019
Technical note on transcription factor motif discovery from importance scores (TF-MoDISco) version 0.5. 6.5
A Shrikumar, K Tian, Ž Avsec, A Shcherbina, A Banerjee, M Sharmin, ...
arXiv preprint arXiv:1811.00416, 2018
942018
GENCODE: reference annotation for the human and mouse genomes in 2023
A Frankish, S Carbonell-Sala, M Diekhans, I Jungreis, JE Loveland, ...
Nucleic acids research 51 (D1), D942-D949, 2023
802023
High-throughput discovery and characterization of human transcriptional effectors
J Tycko, N DelRosso, GT Hess, A Banerjee, A Mukund, MV Van, BK Ego, ...
Cell 183 (7), 2020
752020
Technical Note on Transcription Factor Motif Discovery from Importance Scores (TF-MoDISco) version 0.5. 6.5. ArXiv181100416 Cs Q-Bio Stat [Internet]. 2020 [cited 2020 Oct 26]
A Shrikumar, K Tian, Ž Avsec, A Shcherbina, A Banerjee, M Sharmin
311811
Tf-Modisco v0. 4.4. 2-Alpha
A Shrikumar, K Tian, A Shcherbina, Ž Avsec, A Banerjee, M Sharmin, ...
arXiv preprint arXiv:1811.00416, 2018
252018
Integrative single-cell analysis of cardiogenesis identifies developmental trajectories and non-coding mutations in congenital heart disease
M Ameen, L Sundaram, M Shen, A Banerjee, S Kundu, S Nair, ...
Cell 185 (26), 4937-4953. e23, 2022
242022
Tf-modisco v0. 4.2. 2-alpha: Technical note
A Shrikumar, K Tian, A Shcherbina, Ž Avsec, A Banerjee, M Sharmin, ...
Preprint at arXiv https://arxiv. org/abs/1811.00416 v2, 2018
102018
Technical note on transcription factor motif discovery from importance scores (TF-MoDISco)
A Shrikumar, K Tian, Z Avsec, A Shcherbina, A Banerjee, M Sharmin, ...
bioRxiv, 2018
82018
Technical note on transcription factor motif discovery from importance scores (tf-modisco) version 0.5. 1.1. arXiv preprint 2018
A Shrikumar, K Tian, Ž Avsec, A Shcherbina, A Banerjee, M Sharmin
arXiv preprint arXiv:1811.00416, 0
5
Neural network modeling of differential binding between wild-type and mutant CTCF reveals putative binding preferences for zinc fingers 1–2
IM Kaplow, A Banerjee, CS Foo
BMC genomics 23 (1), 295, 2022
42022
Deep Reinforcement Learning to Play Space Invaders
N Desai, A Banerjee
Technical Report, 2017
22017
Bose–Einstein condensation of a Gaussian random field in the thermodynamic limit
P Mounaix, SN Majumdar, A Banerjee
Journal of Physics A: Mathematical and Theoretical 45 (11), 115002, 2012
12012
Complexity of in-vivo DNA binding preferences of human C2H2 zinc finger transcription factors
A Banerjee
Stanford University, 2022
2022
Knowledge extraction from medical literature using Recurrent Neural Networks
A Banerjee
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