檢索結果 - Krishnan, Arjun

PecanPy: a fast, efficient and parallelized Python implementation of node2vec 由 Liu, Renming, Krishnan, Arjun

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Robust normalization and transformation techniques for constructing gene coexpression networks from RNA-seq data 由 Johnson, Kayla A., Krishnan, Arjun

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Rice GROWTH UNDER DROUGHT KINASE Is Required for Drought Tolerance and Grain Yield under Normal and Drought Stress Conditions 由 Ramegowda, Venkategowda, Basu, Supratim, Krishnan, Arjun, Pereira, Andy

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GIANT 2.0: genome-scale integrated analysis of gene networks in tissues 由 Wong, Aaron K, Krishnan, Arjun, Troyanskaya, Olga G

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Representation of racial and ethnic minority groups in cohort studies evaluating risk factors for dementia: protocol for a scoping review 由 Krishnan, Arjun, Waite, Louise M, Stanaway, Fiona F

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Reconciling multiple connectivity scores for drug repurposing 由 Samart, Kewalin, Tuyishime, Phoebe, Krishnan, Arjun, Ravi, Janani

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Molecular and Physiological Analysis of Drought Stress in Arabidopsis Reveals Early Responses Leading to Acclimation in Plant Growth(1)([C])([W])([OA]) 由 Harb, Amal, Krishnan, Arjun, Ambavaram, Madana M.R., Pereira, Andy

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Ontology-aware classification of tissue and cell-type signals in gene expression profiles across platforms and technologies 由 Lee, Young-suk, Krishnan, Arjun, Zhu, Qian, Troyanskaya, Olga G.

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RECoN: Rice Environment Coexpression Network for Systems Level Analysis of Abiotic-Stress Response 由 Krishnan, Arjun, Gupta, Chirag, Ambavaram, Madana M. R., Pereira, Andy

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A flexible, interpretable, and accurate approach for imputing the expression of unmeasured genes 由 Mancuso, Christopher A, Canfield, Jacob L, Singla, Deepak, Krishnan, Arjun

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Coordinated Activation of Cellulose and Repression of Lignin Biosynthesis Pathways in Rice(1)([C])([W])([OA]) 由 Ambavaram, Madana M.R., Krishnan, Arjun, Trijatmiko, Kurniawan R., Pereira, Andy

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IMP 2.0: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks 由 Wong, Aaron K., Krishnan, Arjun, Yao, Victoria, Tadych, Alicja, Troyanskaya, Olga G.

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Supervised learning is an accurate method for network-based gene classification 由 Liu, Renming, Mancuso, Christopher A, Yannakopoulos, Anna, Johnson, Kayla A, Krishnan, Arjun

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GenePlexus: a web-server for gene discovery using network-based machine learning 由 Mancuso, Christopher A, Bills, Patrick S, Krum, Douglas, Newsted, Jacob, Liu, Renming, Krishnan, Arjun

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FNTM: a server for predicting functional networks of tissues in mouse 由 Goya, Jonathan, Wong, Aaron K., Yao, Victoria, Krishnan, Arjun, Homilius, Max, Troyanskaya, Olga G.

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Reconciling differential gene expression data with molecular interaction networks 由 Poirel, Christopher L., Rahman, Ahsanur, Rodrigues, Richard R., Krishnan, Arjun, Addesa, Jacqueline R., Murali, T. M.

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Direct Detection of Surface Species Formed on Iridium Electrocatalysts during the Oxygen Evolution Reaction 由 BalaKrishnan, Arjun, Blanc, Niclas, Hagemann, Ulrich, Gemagami, Parham, Wonner, Kevin, Tschulik, Kristina, Li, Tong

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Tissue-aware data integration approach for the inference of pathway interactions in metazoan organisms 由 Park, Christopher Y., Krishnan, Arjun, Zhu, Qian, Wong, Aaron K., Lee, Young-Suk, Troyanskaya, Olga G.

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Combinatorial patterns of gene expression changes contribute to variable expressivity of the developmental delay-associated 16p12.1 deletion 由 Jensen, Matthew, Tyryshkina, Anastasia, Pizzo, Lucilla, Smolen, Corrine, Das, Maitreya, Huber, Emily, Krishnan, Arjun, Girirajan, Santhosh

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Effects of Drought on Gene Expression in Maize Reproductive and Leaf Meristem Tissue Revealed by RNA-Seq(1)([W])([OA]) 由 Kakumanu, Akshay, Ambavaram, Madana M.R., Klumas, Curtis, Krishnan, Arjun, Batlang, Utlwang, Myers, Elijah, Grene, Ruth, Pereira, Andy

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