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Systematic identification of feature combinations for predicting drug response with Bayesian multi-view multi-task linear regression
Systematic identification of feature combinations for predicting drug response with Bayesian multi-view multi-task linear regression
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Systematic identification of feature combinations for predicting drug response with Bayesian multi-view multi-task linear regression

Ammad-Ud-Din, Muhammad ; Khan, Suleiman A ; Wennerberg, Krister ; Aittokallio, Tero

Bioinformatics (Oxford, England), 2017-07, Vol.33 (14), p.i359-i368 [Periódico revisado por pares]

England: Oxford University Press

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2
Regression with n\(\to\)1 by Expert Knowledge Elicitation
Regression with n\(\to\)1 by Expert Knowledge Elicitation
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Regression with n\(\to\)1 by Expert Knowledge Elicitation

Soare, Marta ; Muhammad Ammad-ud-din ; Kaski, Samuel

arXiv.org, 2017-02

Ithaca: Cornell University Library, arXiv.org

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Expanding the Utility of Midostaurin in Acute Myeloid Leukemia - Predictive Mutational Signatures in Patient Samples without FLT3 mutations and Clinically Applicable Synergistic Drug Combinations
Expanding the Utility of Midostaurin in Acute Myeloid Leukemia - Predictive Mutational Signatures in Patient Samples without FLT3 mutations and Clinically Applicable Synergistic Drug Combinations
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Expanding the Utility of Midostaurin in Acute Myeloid Leukemia - Predictive Mutational Signatures in Patient Samples without FLT3 mutations and Clinically Applicable Synergistic Drug Combinations

Vaha-Koskela, Markus ; Ammad-ud-din, Muhammad ; Siivola, Kirsi ; Ruokoranta, Tanja ; Turunen, Laura ; Porkka, Kimmo ; Marques Ramos, Pedro ; Pallaud, Celine ; Aittokallio, Tero ; Wennerberg, Krister

Blood, 2018-11, Vol.132 (Supplement 1), p.2743-2743 [Periódico revisado por pares]

Elsevier Inc

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4
Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets
Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets
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Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets

Micallef, Luana ; Sundin, Iiris ; Marttinen, Pekka ; Muhammad Ammad-ud-din ; Peltola, Tomi ; Soare, Marta ; Jacucci, Giulio ; Kaski, Samuel

arXiv.org, 2017-01

Ithaca: Cornell University Library, arXiv.org

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5
Abstract 3883: Gene expression predicts ex vivo drug sensitivity in acute myeloid leukemia
Abstract 3883: Gene expression predicts ex vivo drug sensitivity in acute myeloid leukemia
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Abstract 3883: Gene expression predicts ex vivo drug sensitivity in acute myeloid leukemia

White, Brian S. ; Khan, Suleiman A. ; Ammad-ud-din, Muhammad ; Potdar, Swapnil ; Mason, Mike J. ; Tognon, Cristina E. ; Druker, Brian J. ; Heckman, Caroline A. ; Kallioniemi, Olli P. ; Kurtz, Stephen E. ; Porkka, Kimmo ; Tyner, Jeffrey W. ; Aittokallio, Tero ; Wennerberg, Krister ; Guinney, Justin

Cancer research (Chicago, Ill.), 2018-07, Vol.78 (13_Supplement), p.3883-3883 [Periódico revisado por pares]

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Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets
Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets
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Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets

Micallef, Luana ; Sundin, Iiris ; Marttinen, Pekka ; Ammad-ud-din, Muhammad ; Peltola, Tomi ; Soare, Marta ; Jacucci, Giulio ; Kaski, Samuel

Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017, p.547-552

New York, NY, USA: ACM

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