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- 2023
-
Mark
Interpreting biologically informed neural networks for enhanced proteomic biomarker discovery and pathway analysis
Hartman, Erik LU
; Scott, Aaron M
LU
; Karlsson, Christofer
LU
; Mohanty, Tirthankar
LU
; Vaara, Suvi T
; Linder, Adam
LU
; Malmström, Lars
LU
and Malmström, Johan
LU
(2023)
In Nature Communications
14.
p.1-13
- Contribution to journal › Article
-
Mark
Algorithms and emerging forms of intimacy
- Chapter in Book/Report/Conference proceeding › Book chapter
- 2022
-
Mark
Information literacy as a site for anticipation : Temporal tactics for infrastructural meaning-making and algo-rhythm awareness
- Contribution to journal › Article
-
Mark
Information literacy challenges in digital culture : Conflicting engagements of trust and doubt
Haider, Jutta LU
and Sundin, Olof
LU
(2022)
In Information, Communication & Society
25(8).
p.1176-1191
- Contribution to journal › Article
-
Mark
The Technopolitics of Compassion : A Postphenomenological Analysis of the Digital Mediation of Global Humanitarianism
(2022) In Lund Political Studies
- Thesis › Doctoral thesis (monograph)
-
Mark
Feature Reduction and Selection for Use in Machine Learning for Manufacturing
Alrufaihi, Duaa ; Oleghe, Omogbai ; Almanei, Mohammed ; Jagtap, Sandeep LU
and Salonitis, Konstantinos
(2022)
19th International Conference on Manufacturing Research, ICMR 2022
In Advances in Transdisciplinary Engineering
25.
p.289-296
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Scarf enables a highly memory-efficient analysis of large-scale single-cell genomics data
Dhapola, Parashar LU ; Rodhe, Johan LU ; Olofzon, Rasmus LU
; Bonald, Thomas
; Erlandsson, Eva
LU
; Soneji, Shamit
LU
and Karlsson, Göran
LU
(2022)
In Nature Communications
13.
- Contribution to journal › Article
-
Mark
Performance of the European Society of Cardiology 0/1-Hour, 0/2-Hour, and 0/3-Hour Algorithms for Rapid Triage of Acute Myocardial Infarction : An International Collaborative Meta-analysis
- Contribution to journal › Scientific review
-
Mark
Principal Component Analyses (PCA)-based findings in population genetic studies are highly biased and must be reevaluated
- Contribution to journal › Article
- 2021
-
Mark
Algorithms and Methods for Robust Processing and Analysis of Mass Spectrometry Data
(2021)
- Thesis › Doctoral thesis (compilation)