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Gregory, RS
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1

Condition, size, and winter duration affect winter survival..:

Geissinger, EA ; Bloom, CR ; Gregory, RS..
Marine Ecology Progress Series.  711 (2023)  - p. 47-60 , 2023
Link: https://doi.org/10.3354/..
 
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2

Spatial, temporal, and environmental influences on Atlantic..:

Lunzmann-Cooke, EL ; Gregory, RS ; Snelgrove, PVR..
Marine Ecology Progress Series.  673 (2021)  - p. 151-164 , 2021
Link: https://doi.org/10.3354/..
 
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3

Data from: Season and site fidelity determine home range of..:

Shapiera, Melanie ; Gregory, Robert S ; Morris, Corey J...
doi:10.3354/meps10729.  , 2015
Link: https://zenodo.org/recor..
 
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4

Exposure to HIV prevention programmes associated with impro..:

Armstrong, Gregory ; Medhi, Gajendra K ; Kermode, Michelle...
BMC Public Health.  13 (2013)  1 - p. , 2013
Link: https://doi.org/10.1186/..
 
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5

Future Sea Level Change Under Coupled Model Intercomparison..:

Payne, AJ ; Nowicki, S ; Abe‐Ouchi, A...
https://eprints.whiterose.ac.uk/185987/1/Geophysical%20Research%20Letters%20-%202021%20-%20Payne%20-%20Future%20Sea%20Level%20Change%20Under%20Coupled%20Model%20Intercomparison%20Project%20Phase%205.pdf.  , 2021
Link: https://eprints.whiteros..
 
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6

Predicting ultrahigh risk multiple myeloma by molecular pro..:

Shah, V ; Sherborne, AL ; Johnson, DC...
doi:10.1038/s41375-020-0750-z.  , 2021
Link: https://doi.org/10.1038/..
 
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7

Copy number evolution and its relationship with patient out..:

Croft, J ; Ellis, S ; Sherborne, AL...
Leukemia, 2020.  , 2021
Link: https://repository.icr.a..
 
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8

Evaluation of FGFR targeting in breast cancer through inter..:

Chew, NJ ; Lim Kam Sian, TCC ; Nguyen, EV...
issn:1465-5411.  , 2021
Link: http://hdl.handle.net/11..
 
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9

Copy number evolution and its relationship with patient out..:

Croft, J ; Ellis, S ; Sherborne, AL...
https://eprints.whiterose.ac.uk/181299/1/Copy%20number%20evolution%20and%20its%20relationship%20with%20patient%20outcome-an%20analysis%20of%20178%20matched%20presentation-relapse%20tumor%20pairs%20.pdf.  , 2021
Link: https://eprints.whiteros..
 
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10

Predicting ultrahigh risk multiple myeloma by molecular pro..:

Shah, V ; Sherborne, AL ; Johnson, DC...
Leukemia, 2020, 34 (11), pp. 3091 - 3096.  , 2020
Link: https://repository.icr.a..
 
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11

Prediction of outcome in newly diagnosed myeloma: a meta-an..:

Shah, V ; Sherborne, AL ; Walker, BA...
Leukemia, 2018, 32 (1), pp. 102 - 110.  , 2020
Link: https://repository.icr.a..
 
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12

Predicting ultrahigh risk multiple myeloma by molecular pro..:

Shah, V ; Sherborne, AL ; Johnson, DC...
https://eprints.whiterose.ac.uk/159520/7/s41375-020-0750-z.pdf.  , 2020
Link: https://eprints.whiteros..
 
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13

Predicting ultrahigh risk multiple myeloma by molecular pro..:

Shah, V ; Sherborne, AL ; Johnson, DC...
https://discovery.ucl.ac.uk/id/eprint/10094479/1/s41375-020-0750-z.pdf.  , 2020
Link: https://discovery.ucl.ac..
 
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14

Genetic correlation between multiple myeloma and chronic ly..:

Went, M ; Sud, A ; Speedy, H...
Blood cancer journal, 2018, 9 (1), pp. 1 - ?.  , 2019
Link: https://repository.icr.a..
 
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15

Identification of multiple risk loci and regulatory mechani..:

Went, M ; Sud, A ; Foersti, A...
issn:2041-1723.  , 2019
Link: http://hdl.handle.net/11..
 
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