Students' talks
Day
Time
Badge Number
Paper
Bonus gained
Tuesday, January 12th 2021
10:00
916872
Artificial intelligence, physiological genomics, and precision medicine
5
10:15
921507
A primer on deep learning in genomics
4
10:30
924039
Artificial intelligence, physiological genomics, and precision medicine
4
10:45
920856
BayesPI-BAR2: a new Python package for predicting functional non-coding mutations in cancer patient cohorts
4
11:00
943965
A primer on deep learning in genomics
4
11:15
921575
HyDe: a Python package for genome-scale hybridization detection
3
11:45
924473
Artificial intelligence, physiological genomics, and precision medicine
5
12:00
922920
BayesPI-BAR2: a new Python package for predicting functional non-coding mutations in cancer patient cohorts
5
12:15
951028
Clinical Implementation and Validation of Automated Human Genome Variation Society (HGVS) Nomenclature System for Next-Generation Sequencing–Based Assays for Cancer
4
12:30
934786
Artificial intelligence, physiological genomics, and precision medicine
3
12:45
938789
A primer on deep learning in genomics
4
13:00
922759
A primer on deep learning in genomics
4
Wednesday, January 13th 2021
09:00
945539
BayesPI-BAR2: a new Python package for predicting functional non-coding mutations in cancer patient cohorts
3
09:15
943537
Machine learning detects pan-cancer ras pathway activation in the cancer genome atlas
4
09:30
951735
BayesPI-BAR2: a new Python package for predicting functional non-coding mutations in cancer patient cohorts
09:45
922060
BayesPI-BAR2: a new Python package for predicting functional non-coding mutations in cancer patient cohorts
3
10:15
937600
BayesPI-BAR2: a new Python package for predicting functional non-coding mutations in cancer patient cohorts
5
10:30
917532
A primer on deep learning in genomics
4
10:45
954263
Artificial intelligence, physiological genomics, and precision medicine
3
Friday, January 15th 2021
09:30
937278
BayesPI-BAR2: a new Python package for predicting functional non-coding mutations in cancer patient cohorts
3
09:45
935460
A primer on deep learning in genomics
10:00
921505
Selene: a PyTorch-based deep learning library for sequence data
4
10:15
922619
A primer on deep learning in genomics
4
10:45
916815
ERgene: Python library for screening endogenous reference genes
5
11:00
946723
Machine learning detects pan-cancer ras pathway activation in the cancer genome atlas
5
11:15
952284
Clinical Implementation and Validation of Automated Human Genome Variation Society (HGVS) Nomenclature System for Next-Generation Sequencing–Based Assays for Cancer
5
11:30
954238
Artificial intelligence, physiological genomics, and precision medicine
4
12:00
924187
BayesPI-BAR2: a new Python package for predicting functional non-coding mutations in cancer patient cohorts
4
12:15
922142
COBRAme: A computational framework for genome-scale models of metabolism and gene expression
4
12:30
937908
BayesPI-BAR2: a new Python package for predicting functional non-coding mutations in cancer patient cohorts
3
12:45
946644
PyCellBase, an efficient python package for easy retrieval of biological data from heterogeneous sources
4