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Tasks:
Text Classification
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Text
Formats:
csv
Languages:
English
Size:
10K - 100K
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Uniprot ID;aging-related
stringlengths 9
13
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|---|
XPF_HUMAN;1 |
KC1E_HUMAN;1 |
LEP_HUMAN;1 |
AGTR1_HUMAN;1 |
ATF2_HUMAN;1 |
FOS_HUMAN;1 |
FAK1_HUMAN;1 |
EP300_HUMAN;1 |
EF2_HUMAN;1 |
ANDR_HUMAN;1 |
MSRA_HUMAN;1 |
IGF1R_HUMAN;1 |
INS_HUMAN;1 |
INSR_HUMAN;1 |
PGH2_HUMAN;1 |
GSTA4_HUMAN;1 |
ERBB2_HUMAN;1 |
KLOT_HUMAN;1 |
DT3UO_HUMAN;1 |
RFA1_HUMAN;1 |
IBP3_HUMAN;1 |
TGFB1_HUMAN;1 |
IGF2_HUMAN;1 |
MT1E_HUMAN;1 |
NFKB1_HUMAN;1 |
MAX_HUMAN;1 |
ERCC6_HUMAN;1 |
HD_HUMAN;1 |
NF2L1_HUMAN;1 |
HIF1A_HUMAN;1 |
SODM_HUMAN;1 |
EGF_HUMAN;1 |
THIO_HUMAN;1 |
P53_HUMAN;1 |
XRCC6_HUMAN;1 |
PTEN_HUMAN;1 |
PAPP1_HUMAN;1 |
SUMO1_HUMAN;1 |
SIR1_HUMAN;1 |
CTF1_HUMAN;1 |
TF2H2_HUMAN;1 |
TRAP1_HUMAN;1 |
GHRHR_HUMAN;1 |
IL6_HUMAN;1 |
PDGFB_HUMAN;1 |
SHC1_HUMAN;1 |
MK08_HUMAN;1 |
CDC42_HUMAN;1 |
TF65_HUMAN;1 |
SIR6_HUMAN;1 |
DDIT3_HUMAN;1 |
TERF2_HUMAN;1 |
PIT1_HUMAN;1 |
PK3CA_HUMAN;1 |
SOMA_HUMAN;1 |
ELN_HUMAN;1 |
SMS_HUMAN;1 |
PRGC1_HUMAN;1 |
CREB1_HUMAN;1 |
PROP1_HUMAN;1 |
GSHB_HUMAN;1 |
KCNA3_HUMAN;1 |
COQ7_HUMAN;1 |
GRN_HUMAN;1 |
PON1_HUMAN;1 |
SIN3A_HUMAN;1 |
RHG01_HUMAN;1 |
FOXO3_HUMAN;1 |
CLOCK_HUMAN;1 |
CDN1A_HUMAN;1 |
MYC_HUMAN;1 |
1433Z_HUMAN;1 |
SQSTM_HUMAN;1 |
CCNA2_HUMAN;1 |
BUB3_HUMAN;1 |
TPP2_HUMAN;1 |
EPS8_HUMAN;1 |
ADCY5_HUMAN;1 |
IL7_HUMAN;1 |
SLIB_HUMAN;1 |
IKBA_HUMAN;1 |
IGF1_HUMAN;1 |
NFKB2_HUMAN;1 |
MCA3_HUMAN;1 |
PCNA_HUMAN;1 |
PAI1_HUMAN;1 |
TERF1_HUMAN;1 |
TOP2B_HUMAN;1 |
CHK2_HUMAN;1 |
JUN_HUMAN;1 |
FEN1_HUMAN;1 |
DPOD1_HUMAN;1 |
BRCA2_HUMAN;1 |
MTOR_HUMAN;1 |
PDPK1_HUMAN;1 |
PGFRA_HUMAN;1 |
8ODP_HUMAN;1 |
STAT3_HUMAN;1 |
GRP75_HUMAN;1 |
NCOR1_HUMAN;1 |
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Description of the Dataset
This is (part of) the dataset used in Prediction and characterization of human ageing-related proteins by using machine learning. This can be used to train a binary sequence classifier using protein language models such as ESM-2. Please also see the github for the paper for more information.
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