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Uncovering and modeling gene regulatory networks (GRNs) is one of the long-standing
challenges in systems biology. This uncovering implies to computationally predict, from
given gene expression data, direct regulatory interactions between transcription factors
and their target genes. All those predicted direct regulatory interactions form a GRN.
Several techniques have been tested to address this problem. Among those, GENIE3 is one
of the top performing methods. However, it has a big disadvantage, which is its slowness.

Using traditional sequencing methods, only the mean of the gene expression values over
a mix of millions of cells could be obtained. The emergence of new techniques allows the
creation of single-cell RNA-seq data, which contain values corresponding to the expression
level in every single cell. It raises two main challenges. First, a computational challenge,
as it creates much bigger expression matrices than traditional methods. Second, we can
now see different cell types in the data, which we were not able to see before, as we only
had means of expression values from different cells. One strategy is to cluster this data so
that each cluster corresponds to a cell type contained in the data.

Our contribution in this context is first to propose a variant of GENIE3 that uses boosting
in order to make it faster and applicable to single-cell datasets. The results obtained are
very promising, as this transforms GENIE3 from a very slow method to a very fast one,
while having the same - and sometimes better - performance. The boosting method has
however the drawback of depending on many parameters. Our second contribution is to
propose three regulatory network-based methods for cell clustering from single-cell data.
Results obtained were not as good as expected but call for more investigations in this way.
Better results could probably be obtained by further analyzing some parameters.

machine learning --- XGBoost --- GRN inference --- clustering --- single-cell --- Ingénierie, informatique & technologie > Sciences informatiques

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Remote sensing data and techniques have been widely used for disaster monitoring and assessment. In particular, recent advances in sensor technologies and artificial intelligence-based modeling are very promising for disaster monitoring and readying responses aimed at reducing the damage caused by disasters. This book contains eleven scientific papers that have studied novel approaches applied to a range of natural disasters such as forest fire, urban land subsidence, flood, and tropical cyclones.

Research & information: general --- wildfire --- satellite vegetation indices --- live fuel moisture --- empirical model function --- Southern California --- chaparral ecosystem --- forest fire --- forest recovery --- satellite remote sensing --- vegetation index --- burn index --- gross primary production --- South Korea --- land subsidence --- PS-InSAR --- uneven settlement --- building construction --- Beijing urban area --- floodplain delineation --- inaccessible region --- machine learning --- flash flood --- risk --- LSSVM --- China --- Himawari-8 --- threshold-based algorithm --- remote sensing --- dryness monitoring --- soil moisture --- NIR-Red spectral space --- Landsat-8 --- MODIS --- Xinjiang province of China --- SDE --- PE --- groundwater level --- compressible sediment layer --- tropical cyclone formation --- WindSat --- disaster monitoring --- wireless sensor network --- debris flow --- anomaly detection --- deep learning --- accelerometer sensor --- total precipitable water --- Himawari-8 AHI --- random forest --- deep neural network --- XGBoost --- wildfire --- satellite vegetation indices --- live fuel moisture --- empirical model function --- Southern California --- chaparral ecosystem --- forest fire --- forest recovery --- satellite remote sensing --- vegetation index --- burn index --- gross primary production --- South Korea --- land subsidence --- PS-InSAR --- uneven settlement --- building construction --- Beijing urban area --- floodplain delineation --- inaccessible region --- machine learning --- flash flood --- risk --- LSSVM --- China --- Himawari-8 --- threshold-based algorithm --- remote sensing --- dryness monitoring --- soil moisture --- NIR-Red spectral space --- Landsat-8 --- MODIS --- Xinjiang province of China --- SDE --- PE --- groundwater level --- compressible sediment layer --- tropical cyclone formation --- WindSat --- disaster monitoring --- wireless sensor network --- debris flow --- anomaly detection --- deep learning --- accelerometer sensor --- total precipitable water --- Himawari-8 AHI --- random forest --- deep neural network --- XGBoost

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Dear colleagues, Geological energy has a long history in China. As early as 500 BC, China began to use coal as fuel. In the middle of the 19th century, China began to develop oil resources. After the foundation of new China, with the discovery of the Daqing oilfield, China's oil industry entered an era of great development. During the 21st century, with the development of drilling technology, the development of unconventional energy such as shale gas and shale oil has entered a new era. In recent years, the development of flammable ice has set off a wave of clean energy. With the carbon reduction plan proposed by the Chinese government, clean geo-energy has been granted unparalleled development space in the future. China's geo-energy development technology used to lag behind that of major developed countries for a long time, but after years of development, it has become the world's leading edge in some fields. Therefore, we specially set up this collection to collect China's advanced geo-energy exploitation technology and development trends, whilst providing some new directions for thinking about geo-energy development in China and even the world. This collection seeks to contribute to such topics through enhanced scientific and multidisciplinary knowledge.

Research & information: general --- airflow reversal --- gas outburst --- mine ventilation system --- orthogonal experiment --- numerical simulation --- deep chamber --- asymmetric failure --- mechanical analysis --- control measures --- Yinggehai --- overpressure --- hydraulic fracture --- mudstone --- fluid pressure --- red sandstone --- pre-existing cracks --- creep behavior --- temperature --- long-term permeability --- partial saturation --- patchy saturation --- squirt flow --- P-wave velocity dispersion and attenuation --- anelasticity --- ultrasonic measurements --- heavy oil reservoirs --- cyclic steam stimulation --- conformance control --- extreme gradient boost (XGBoost) trees --- prediction model --- Dongsha Waters in the northern South China Sea margin --- velocity inversion --- mud volcano --- magma intrusion --- Mesozoic hydrocarbon --- tubing --- modal analysis --- fluid-structure interaction --- inlet pressure --- pipeline --- water hammer --- gas-liquid two-phase flow --- pressure --- velocity --- lattice Boltzmann method --- discrete element method --- sand production --- force chain network analysis --- seismic sedimentology --- sedimentary facies evolution --- peat accumulation regularity --- frequency–division amplitude fusion --- thin sand bodies --- stable crack propagation --- crack strain --- stress–strain curve --- model --- wing crack --- outburst coal --- primary coal --- structural parameters --- infrared spectrum --- XRD --- oil shale --- in situ conversion project --- biomarker --- pyrolysis process --- organic geochemistry

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Dear colleagues, Geological energy has a long history in China. As early as 500 BC, China began to use coal as fuel. In the middle of the 19th century, China began to develop oil resources. After the foundation of new China, with the discovery of the Daqing oilfield, China's oil industry entered an era of great development. During the 21st century, with the development of drilling technology, the development of unconventional energy such as shale gas and shale oil has entered a new era. In recent years, the development of flammable ice has set off a wave of clean energy. With the carbon reduction plan proposed by the Chinese government, clean geo-energy has been granted unparalleled development space in the future. China's geo-energy development technology used to lag behind that of major developed countries for a long time, but after years of development, it has become the world's leading edge in some fields. Therefore, we specially set up this collection to collect China's advanced geo-energy exploitation technology and development trends, whilst providing some new directions for thinking about geo-energy development in China and even the world. This collection seeks to contribute to such topics through enhanced scientific and multidisciplinary knowledge.

airflow reversal --- gas outburst --- mine ventilation system --- orthogonal experiment --- numerical simulation --- deep chamber --- asymmetric failure --- mechanical analysis --- control measures --- Yinggehai --- overpressure --- hydraulic fracture --- mudstone --- fluid pressure --- red sandstone --- pre-existing cracks --- creep behavior --- temperature --- long-term permeability --- partial saturation --- patchy saturation --- squirt flow --- P-wave velocity dispersion and attenuation --- anelasticity --- ultrasonic measurements --- heavy oil reservoirs --- cyclic steam stimulation --- conformance control --- extreme gradient boost (XGBoost) trees --- prediction model --- Dongsha Waters in the northern South China Sea margin --- velocity inversion --- mud volcano --- magma intrusion --- Mesozoic hydrocarbon --- tubing --- modal analysis --- fluid-structure interaction --- inlet pressure --- pipeline --- water hammer --- gas-liquid two-phase flow --- pressure --- velocity --- lattice Boltzmann method --- discrete element method --- sand production --- force chain network analysis --- seismic sedimentology --- sedimentary facies evolution --- peat accumulation regularity --- frequency–division amplitude fusion --- thin sand bodies --- stable crack propagation --- crack strain --- stress–strain curve --- model --- wing crack --- outburst coal --- primary coal --- structural parameters --- infrared spectrum --- XRD --- oil shale --- in situ conversion project --- biomarker --- pyrolysis process --- organic geochemistry

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Dear colleagues, Geological energy has a long history in China. As early as 500 BC, China began to use coal as fuel. In the middle of the 19th century, China began to develop oil resources. After the foundation of new China, with the discovery of the Daqing oilfield, China's oil industry entered an era of great development. During the 21st century, with the development of drilling technology, the development of unconventional energy such as shale gas and shale oil has entered a new era. In recent years, the development of flammable ice has set off a wave of clean energy. With the carbon reduction plan proposed by the Chinese government, clean geo-energy has been granted unparalleled development space in the future. China's geo-energy development technology used to lag behind that of major developed countries for a long time, but after years of development, it has become the world's leading edge in some fields. Therefore, we specially set up this collection to collect China's advanced geo-energy exploitation technology and development trends, whilst providing some new directions for thinking about geo-energy development in China and even the world. This collection seeks to contribute to such topics through enhanced scientific and multidisciplinary knowledge.

Research & information: general --- airflow reversal --- gas outburst --- mine ventilation system --- orthogonal experiment --- numerical simulation --- deep chamber --- asymmetric failure --- mechanical analysis --- control measures --- Yinggehai --- overpressure --- hydraulic fracture --- mudstone --- fluid pressure --- red sandstone --- pre-existing cracks --- creep behavior --- temperature --- long-term permeability --- partial saturation --- patchy saturation --- squirt flow --- P-wave velocity dispersion and attenuation --- anelasticity --- ultrasonic measurements --- heavy oil reservoirs --- cyclic steam stimulation --- conformance control --- extreme gradient boost (XGBoost) trees --- prediction model --- Dongsha Waters in the northern South China Sea margin --- velocity inversion --- mud volcano --- magma intrusion --- Mesozoic hydrocarbon --- tubing --- modal analysis --- fluid-structure interaction --- inlet pressure --- pipeline --- water hammer --- gas-liquid two-phase flow --- pressure --- velocity --- lattice Boltzmann method --- discrete element method --- sand production --- force chain network analysis --- seismic sedimentology --- sedimentary facies evolution --- peat accumulation regularity --- frequency–division amplitude fusion --- thin sand bodies --- stable crack propagation --- crack strain --- stress–strain curve --- model --- wing crack --- outburst coal --- primary coal --- structural parameters --- infrared spectrum --- XRD --- oil shale --- in situ conversion project --- biomarker --- pyrolysis process --- organic geochemistry --- airflow reversal --- gas outburst --- mine ventilation system --- orthogonal experiment --- numerical simulation --- deep chamber --- asymmetric failure --- mechanical analysis --- control measures --- Yinggehai --- overpressure --- hydraulic fracture --- mudstone --- fluid pressure --- red sandstone --- pre-existing cracks --- creep behavior --- temperature --- long-term permeability --- partial saturation --- patchy saturation --- squirt flow --- P-wave velocity dispersion and attenuation --- anelasticity --- ultrasonic measurements --- heavy oil reservoirs --- cyclic steam stimulation --- conformance control --- extreme gradient boost (XGBoost) trees --- prediction model --- Dongsha Waters in the northern South China Sea margin --- velocity inversion --- mud volcano --- magma intrusion --- Mesozoic hydrocarbon --- tubing --- modal analysis --- fluid-structure interaction --- inlet pressure --- pipeline --- water hammer --- gas-liquid two-phase flow --- pressure --- velocity --- lattice Boltzmann method --- discrete element method --- sand production --- force chain network analysis --- seismic sedimentology --- sedimentary facies evolution --- peat accumulation regularity --- frequency–division amplitude fusion --- thin sand bodies --- stable crack propagation --- crack strain --- stress–strain curve --- model --- wing crack --- outburst coal --- primary coal --- structural parameters --- infrared spectrum --- XRD --- oil shale --- in situ conversion project --- biomarker --- pyrolysis process --- organic geochemistry